<< content Chapter 8
4. Introduction to ghost machines
In previous topics I talked about dynamic efficient robots and how these robots work in the real world and the virtual world to accomplish tasks. In the real world, intelligent robots are used to accomplish tasks. Station pathways are formed in memory as a result of intelligent robots working together as a group to accomplish tasks.
These intelligent robots are physical machines with human-level intelligence that work in the real world to do things. The technology described in this topic, called ghost machines, replaces intelligent robots. Ghost machines are created by the environment and powered by the environment to do tasks. They are also intelligent and can consciously act on their own.
In essence, ghost machines replace any physical machine (wither it be robot machines or expert machines) to do any task in the real world.
What exactly does a ghost machine look like? Some ghost machines are purely energy and they are there to let other people see them and hear them. Think of it as holographic illusions created by the molecules and energy from the environment. Other ghost machines are made up of solid matter that uses the atom reserves layer of the atom manipulator to get its form. The ghost machine needs a physical body because it needs to do things to the environment. It has to move objects around, take objects out of another object or to position an object in a certain location.
The ghost machine can be both solid matter and holographic at the same time. A human ghost will be holographic, but the hand of this ghost can be solid matter. This means that the ghost can phase through other objects, but the hand of the ghost can’t. To make the ghost machine more functional, they can also shift matter around and change their compositions. The hand can be made from air particles or pure energy or solid metal. The hand can also shift in terms of its matter from one state to another depending on the task to be done and the current environment.
What are the main goals of ghost machines? If you look at a simple task such as carrying a table from the living room to the kitchen, a physical robot has to be present to do the task. What if it was possible to create ghost hands from the environment and use the hands to carry the table? When the task is finished the hands will disappear into thin air. An even bigger task is to build a house. Many construction workers and authorities are needed to accomplish the task. The architecture has to draw out the blueprints to the house; the client has to make sure the design is satisfactory; and the construction workers have to work to bring the materials and build the house. Now, what if all the workers are replaced with ghost machines and the workers are created from the environment and powered by the environment to build the house? What if the material to build the house can be transported to the target area instead of a truck?
The atom manipulator will do all the hard work by creating the ghost machines, instructing them to do tasks, transporting materials to the target area, and controlling the actions of the ghost machines.
Not only can the atom manipulator create and control these ghost machines, it can also provide the intelligence needed to accomplish tasks. For example, if an architecture was created from thin air, it needs a brain to think, it needs a functional body so that the brain can send electrical signals to appendages to move. Instead of creating a functional body of the architecture, the atom manipulator can create only body parts needed for that task, such as eyes to see, ears to hear and hands to draw. The intelligence of the architecture is simply a simulation inside the atom manipulator. The atom manipulator only controls what the “output” of the architecture will do, but it doesn’t control the internal aspects of the architecture. For example, the brain sends signals to the hand to move. The atom manipulator will mimic what the hand is doing, but it will not mimic the electrical signals from the brain to the hand (these subject matters will be explained in greater detail in later sections).
FIG. 23 is a diagram depicting the data structure of the atom manipulator. The pathways from the atom manipulator are made up of three parts: the clarity tree, the robot’s pathways, and encapsulated work.
FIG. 45 is a diagram depicting the data structure of a ghost machine. There are two factors involved: the training situation and the fabricated situation. The training situation comprises “one” station pathway and a clarity tree to represent that station pathway. In the fabricated situation, is the atom manipulator that comprises a clarity tree that represents the current environment, robot and virtual character pathways to control the atom manipulator, and encapsulated work done by the virtual characters (Robot or virtual character are referring to the same object. Also, robots in the station pathway are different from robots that control the atom manipulator. To make it simpler I will be referring to robots in the station pathways as “workers” and I will be referring to robots that control the atom manipulator as “robots”).
The training situation is “one” event that depicts all workers involved in a task. It also depicts the beginning and the ending of a task. This training situation should be an ideal way of doing a task by one or a group of workers. The station pathways have pathways from multiple robots working together. Each worker will store their 5 senses and thoughts into their respective pathways and relational links will bind the station pathway together.
The clarity tree for the station pathways is a 3-d representation of all the workers and objects in the environment. All atoms, EM radiation, molecules and objects are stored in terms of a hierarchical tree called the clarity tree. The levels in the clarity tree will go from general to specific. For example, at the top of the tree, the visibility level is human visibility and at the bottom level the visibility level is atom visibility.
The station pathways are 2-d and data in the clarity tree are 3-d. Both will be referencing each other. For example, the position of a worker (a robot) will have a reference pointer to where they are positioned in the 3-d clarity tree. What that worker is sensing and thinking will also have reference pointers to the 3-d clarity tree. If the environment is a house and the worker is looking at the stove, then the 3-d clarity tree will have reference pointers of the worker’s visual sense (which is 2-d) to the area where the stove is located (which is 3-d).
FIG. 44 is a diagram depicting this example. There are three workers in the station pathway (W1, W2 and W3). In the pathway of worker W1, the visual sense is looking at a stove. The clarity tree has references from W1’s pathway to the stove in the 3-d environment. Notice that all workers (W1-W3) are also tracked as they move in the 3-d environment. Both the station pathways and the clarity tree deals with sequence of data and information is based on when they exist simultaneously.
The 3-d clarity tree and the station pathway can be trained simultaneously (which is preferred) or it can be trained separately. Either way, through the self-organization process, both data types will associate with each other through common traits. It is preferred that the 3-d clarity tree is created along with the station pathways. This will store the two data types together in memory so that the AI can find common traits easily. If they were trained separately, it will be harder for the AI to find common traits.
A station pathway will be one continuous sequence of pathways from one or multiple robots working together to accomplish a task. Sometimes these workers can be structured in a hierarchical manner such as in a business. Every worker is professional and each does their jobs very well. It’s very important that the station pathway is the desired work done by all workers. Also, the station pathway has to depict an exact beginning of the task and the exact ending of the task. An approximate beginning and ending of a task can be used, but an exact beginning and ending is desired.
Station pathways and its clarity tree should depict non-intelligent and intelligent objects. Each station pathway just records the 5 senses and thought processes of many intelligent robots (called workers). Each worker pathway is one intelligent entity and will have reference pointers to the 3-d environment (the clarity tree). This will outline each intelligent object in terms of what they are sensing/thinking as well as their physical bodies (both internal and external atom structures).
In addition, non-intelligent objects are also identified by both the station pathways and the 3-d clarity tree. When a worker see an object, it is automatically identified as an object (wither its intelligent or not). The identification of non-intelligent and intelligent objects will be required in order to understand the fabricated situation. Being able to know what an intelligent object is sensing/thinking is also an important thing.
The fabricated situation
Referring back to FIG. 45, the fabricated situation is the second part of the ghost machines. The fabricated situation comprises a clarity tree of the “current environment”, pathways from robots or virtual characters that control the atom manipulator, and encapsulated work.
Since the station pathways and its clarity tree depict intelligent and non-intelligent objects, the robots that control the atom manipulator has to create fabricated situations based on the training situation. In other words, they have to make the ghost machines behave like the physical workers in the station pathway. The robots controlling the atom manipulator has to create the ghost machines based on the workers, copy the intelligence of the workers, and to make the ghost machine do things exactly like the workers.
The intelligence in how to accomplish a task has already been outlined in the station pathways. Based on association, the intelligence can be “carried over” to the fabricated situation to do tasks.
When I say robots controlling the atom manipulator I’m referring to robots in the real world and the virtual world. These robots can be structured in any organization or structure. For example, if the atom manipulator is a plane, there might be a captain that is in charge of the plane. Under his/her command is a first officer. These two high officials may have a crew of 5 that will follow orders from both the captain and the first officer.
On the other hand, virtual characters are also doing the encapsulated work. They have to provide the instructions that is needed to operate the atom manipulator to function a certain way.
Both the robots controlling the atom manipulator and the virtual characters must take each worker pathway from the station pathway and try to mimic each worker’s behavior using the atom manipulator. The atom manipulator pathways are called the fabricated situation and they are pegged to the data in the training situation – most notably the station pathways. Referring to FIG. 46, relational links will further bind all data between the training situation and the fabricated situation. The worker’s pathways in the training situation will have relational links to their respective ghost machine pathways in the fabricated situation.
Each worker in the station pathway has to be recreated as a ghost machine. The robots controlling the atom manipulator has to try to understand what each workers’ goals are and what their rules are before they can fabricate a ghost machine. The robots also have to mimic the physical work that these workers are doing with the atom manipulator. For example, if one task for a worker is to carry a table and put it in the living room, then the atom manipulator has to create a ghost machine to do the same task. The ghost machine might be a holographic human with solid-matter hands that will carry the table and bring it into the living room. The task that the worker and the ghost machine have to do is exactly the same. The only difference is the physical worker is replaced with a ghost machine that was created by the atom manipulator.
All intelligent objects (workers) in the station pathway must be represented by their own ghost machine. All non-intelligent objects must be present in the targeted area. For example, building materials to build a house has to be in the target area where the house will be built. Materials can be transported by truck or any other means. Materials can also be “beamed” into the target area by the atom manipulator and assembled there. For example, if workers need 50 timber wood, the atom manipulator can use the atom reserves layer to shoot atoms into the target area and assemble these atoms together to create the 50 timber wood. On the other hand, a worker can buy the 50 timber wood from home depot and bring it to the target area via a truck. Either way, the 50 timber of wood is needed to build the house – the workers have to use the material to build the house.
How the pathways will be matched in memory
The training situation and the fabricated situation comprise pathways. The AI will find a match that will be the closest match to the current environment in terms of the fabricated situation and not the training situation. As stated earlier, the training situation is a situation where physical robots are present to do tasks in the real world. This isn’t the pathways we are searching for in memory. The training situation is considered guided pathways that have some data that we want to find and some data we don’t want to find.
On the other hand, the fabricated situation is a situation where there are no physical robots present to do work in the real world. The atom manipulator creates ghost machines to do work that correlate to the training situation.
Because of this fact, the fabricated situation should have higher priority than the training situation (FIG. 46). When the AI finds the best match, the fabricated situation will have higher priority than the training situation.
When the AI tries to find a match in memory it will search for the closest matches. Pathways in memory are searched in terms of fuzzy logic. Because the training situation and the fabricated situation have strong relational links with one another, they are grouped very close to one another. Referring to FIG. 46, think of the fabricated situation as target objects and think of the training situation as element objects. The AI will find the best matches to the target objects in the current pathway and activate the strongest element objects. Because the training situation has strong association with the fabricated situation, when the fabricated situation is matched in memory, the strongest training situation is activated.
This is very important because the intelligence of the ghost machines come from the station pathways in the training situation. When the fabricated situation is matched, the intelligence of these ghost machines are activated as well. In other words, the intelligence of the workers’ pathways are “carried over” to the ghost machines.
Pathways stored in memory build on pre-existing pathways in memory. This is where the term bootstrapping comes from. What’s so wonderful about the brain is that pathways are floating around and these pathways can group together to form larger pathways. Below is a demonstration of how pathways group themselves incrementally.
1. station pathways
2. station pathways + 3-d clarity tree
3. station pathways + 3-d clarity tree + robot pathways (control of atom manipulator)
First, station pathways are created in memory. Then, 3-d clarity trees are created in memory. Since station pathways and 3-d clarity trees have relational links they are grouped together. Finally, station pathways and 3-d clarity trees are combined with the robot pathways that control the atom manipulator. All three are grouped closely to one another because they have strong commonality groups and learned groups.
The third listing above shows that the intelligence of the station pathways can be “carried over” to the robot’s pathways.
How the atom manipulator is trained
The main idea behind the ghost machines is for the atom manipulator to create ghost machines to do tasks that physical machines can do. It replaces the physical machines to do work.
Training has to be done during runtime. FIG. 47 and FIG. 48 are diagrams depicting a loop whereby “one” station pathway is extracted and at each increment a fabricated situation is generated which is called a training session. All work will be done in the virtual world. It might take several years of work from many virtual characters in order to generate one training session. When the training session is completed, it will be tested out in the real world to make sure that the atom manipulator functions correctly.
Referring to FIG. 47, if the atom manipulator does its work correctly then the training session was a success and the virtual characters can move on to making the next training session. If the training session is wrong then the virtual characters might have to generate a new training session to correct the previous mistake.
Referring to FIG. 48, in each increment, the station pathway time will correlate with the fabricated situation time. As the workers in the station pathway do their work, a fabricated situation is generated in every increment.
This loop will repeat itself over and over again until the entire station pathway is pegged with its respective fabricated situation (or until the entire task is completed). As each fabricated situation is generated, called a training session, the atom manipulator will test it out in the real world in real time. Each training session will be done in the virtual world and might take 3 years to generate, but the training session is tested in the real world. The good thing about working in a virtual world is that 3 years can past and only 1 millisecond has past in the real world. This gives the atom manipulator a perfect opportunity to test a training session in the real world using real time.
Encapsulated work (for the atom manipulator)
The work that is needed to instruct the atom manipulator to do tasks is overwhelming. Robots and virtual characters have to do tasks in an encapsulated manner. They have to use the universal computer program to assign fixed interface functions or joysticks to encapsulate work. Once work is assigned to a fixed interface function, the virtual characters can use the interface functions to do other work. Thus, this is how work is encapsulated.
Also, work has to be done in fragmented sequences. A group of virtual characters might have to do work in the human visibility level in the clarity tree and another group of virtual characters might have to do work in the atom visibility level. Encapsulation of work has to be done from the bottom up. Each group has to use the universal computer program to assign their work to fixed interface functions so that they can reuse these work in the future or to let other virtual characters (or robot) use the fixed interface function. The next section will illustrate how work is encapsulated. Just a reminder, when I say the robot and the virtual character, they are basically the same things.
Further details on the ghost machines
The main purpose of the ghost machines is to create the same exact work that is done by workers in the station pathway using the atom manipulator. Instead of physical robots to do work the atom manipulator does the work. It creates ghost machines, provide intelligence for each ghost machine, and control the ghost machines to manipulate the environment. These ghost machines can be small to manipulate molecules or atoms or it can be big to manipulate furniture or cars. And these ghost machines can work as a team or individually to do tasks. For example, 1 trillion tiny ghost machines can work together to make a car float in the air. Or 10 big ghost machines can work together to do heart surgery on a patient.
The station pathways are from physical robots doing work in the real world. Their collective pathways are stored into one station pathway in terms of what they sense and think. The responsibility of the robots controlling the atom manipulator is to “mimic” the work that these physical robots in the station pathway are doing. Thus, the atom manipulator can do any task that one or more physical machine can do.
In the last section, I described only “one” training, whereby the robots in the atom manipulator are trying to provide a fabricated situation for “one” station pathway. In order to train the atom manipulator in terms of fuzzy logic, thousands and thousands of training is needed for a given situation. The pathways in memory have to self-organize to create a fuzzy range of itself so that the atom manipulator can take action under any circumstance or situation.
The whole idea is to train the atom manipulator so well that it can take a station pathway in memory and automatically generate the instructions to the atom manipulator through patterns. FIG. 49 is a diagram depicting training for the atom manipulator and automatic instructions for the atom manipulator. Basically, the training state requires the fabricated situation in order to create the instructions to the atom manipulator. In the automatic state, the AI can find the best station pathway match in memory and patterns will automatically generate the instructions to the atom manipulator. All ghost machines will be created along with their intelligence and this is all done through the station pathway.
If you think about how powerful this method is, you will see why the atom manipulator is so important. You can have physical robots working in the real world as individuals or in a team. Their pathways are stored in memory. Self-organization will knit relational pathways together forming station pathways. If we assign groups of work to a fixed interface function using the universal computer program, then we can use software to accomplish tasks.
All the work done by physical robots can be stored in memory as station pathways and they can be assigned to fixed interface functions. The atom manipulator can then use these station pathways and generate their equivalent ghost machines to do tasks. Thus, this method replaces any physical robot.
If the atom manipulator is trained properly, any station pathway can be extracted and the instructions to the atom manipulator to create ghost machines can be generated automatically. Of course, a simple task like carrying a table from the living room to the kitchen is easy, while a difficult task like building a house is hard. Lots of training is needed for more difficult tasks.
Universal computer program
Entire work that is done by one robot or a team of robots can be encapsulated into a fixed interface function or it can be assigned to a voice recognition system. For example, a user can sign a form and submit the form so that a team of robots can do a task. Or a user can use their voice to give a command and a team of robots will do a task. Either way, the universal computer program encapsulates work done by one or more robots.
Now, imagine that the atom manipulator replaces physical robots to do tasks. We can use a software to encapsulate work. We can provide a fillable form for a user to fill in and submit what they want done. For example, if they want to build a house, they have to submit their preferences regarding what the house will look like or to give a general idea of the house. Then professional robots will start to work and to accomplish the task of building the house.
On the other hand, the user can fill in forms and submit it through a software. Then, the atom manipulator can do all the work. Instead of physical robots building a house, the atom manipulator will extract the station pathway of building a house, create ghost machines, provide intelligence to each ghost machine, and send the instructions to each ghost machine to act. When everything is said and done, the house is built based on a user’s preferences using the atom manipulator and not physical robots.
There are infinite tasks that the atom manipulator can do. It can build a bridge, build a car, run a business, move a mountain, extract pollutions from the air, create a computer, create a cellphone, transport materials and so forth.
Intelligence of the ghost machines
The training situation houses the station pathways and the station pathways contain pathways of individual workers (robots) in terms of the way they sense and think. The intelligence of each worker is already stored in the station pathway (called activated element objects). On the other hand, in the fabricated situation, the robots controlling the atom manipulator is only concerned with translating data from the station pathways. They will look at a worker’s pathway and see what the worker’s goals are and what they are trying to do. Then, they will provide the instructions to the atom manipulator to mimic their behavior.
Referring to FIG. 50, the station pathway has the intelligence of each worker and the robots controlling the atom manipulator also is aware of the intelligence of each worker. Both pathway types will generate relational links with one another. This basically makes the intelligence of the ghost machines stronger. The robot’s pathways and workers’ pathways in the station pathway outline the intelligence of the ghost machines and what they should sense and think.
In some ways, the intelligence of the ghost machines is simply following a pathway in memory in linear order. The pathways outline how the ghost machine should sense and think – what its goals are and what rules to follow.
A fabricated situation example -- This example will illustrate a worker in a station pathway carrying a table from the living room to the kitchen. The robots controlling the atom manipulator has to translate this into instructions for the atom manipulator. First, they will determine if the physical aspects of the worker are important or not. For example, is it important that other people see this worker carry the table from room to room. Maybe this information is used to do work for other workers.
There can be many different approaches to this problem. The robots controlling the atom manipulator can create no ghost machine. Instead, they can use the air in the environment and make the chair move in the air exactly to the movement in the station pathway. When the task is done, the table has gone from the living room to the kitchen without any physical robot doing the task. The task in the fabricated situation is completed exactly to the task in the training situation (station pathway). This is the desired result we want.
On the other token, it is sometimes very important to also mimic the visual aspects of the task because other dependant workers might have to communicate with the worker. When working in a team-like-setting to do tasks it is very important that the visual representation of workers also be mimicked. A good idea is to use holographic representations for workers. Holograms are made up of energy or small air particles. These energy and small air particles are positioned a certain way in space and time so that a consistent image is present. Ghosts are made up of air particles and we can see them, but they are transparent.
Since ghosts are transparent they can’t move things around. The solution to this problem is to create solid matter on certain areas of the ghost machine. In this example, the hand must be made from solid matter because it has to hold a table and carry it around from room to room. Everything else about the ghost machine is transparent, but the hand is made from solid matter (or semi-transparent matter).
Another problem is that a physical robot gets its force to move the table based on its body weight. The foot of the physical robot is partly a factor in carrying the chair. The electrical signals to move muscles to transfer force from the ground to the table is another factor. The way to solve this problem is by generating a holographic image of the worker. Then, solid matter will be devoted to certain areas, such as the hands. Next, air will be manipulated in that area to make the table float. Possibly knocking atoms from the ground all the way up to the hand to move the table – this is important because the atom manipulator should move things similar to the station pathways, even the motion of force.
The robots controlling the atom manipulator has to also make sure to neglect certain things from the worker’s pathways. The worker’s hand to lift the table comes from electrical signals sent from his brain. The ghost machine doesn’t have to mimic this behavior. It can simply make a solid matter hands and to manipulate them to do the things that the worker’s hands are doing.
Reference pointers from the ghost machine to station pathways
The ghost machine has eyes and those eyes have reference pointers to the worker’s eyes in the station pathway. Most of the time, what this ghost machine sees will be a big factor to how it acts. For example, if there was a bed in front of the ghost machine, he will go around the bed. If the ghost machine tries to go through the bed, he might go through, but the table he is carrying will hit the bed.
What the worker is sensing should reference to the ghost machine’s senses. This will create a realistic ghost machine that basically has a brain (referenced from the station pathway) to sense information from the environment. The thinking part of the worker’s pathway is invisible, but it is referencing to the ghost machine’s brain because that is where intelligence comes from.
This is why it is very important that the robots controlling the atom manipulator try to mimic the behavior of the workers in the station pathways exactly. Sensing from the environment has everything to do with intelligence for the ghost machines.
In addition, the station pathway contains encapsulated work as well. Workers, called virtual characters, do work in the time machine and robots do work in the real world. The fabricated situation will only be concerned with fabricating ghost machines to do work in the real world. Any work in the station pathway that are done in a virtual world are ignored.
Fragmented encapsulated work (using videogames)
The fabricated situation is done in fragmented sequences. They are combined together through encapsulation. When it is combined it will be tested out in the real world called a training session.
In FIG. 44 there are three workers (W1, W2 and W3). The station pathway stores each worker’s pathway in terms of what they are sensing and thinking. Relational links will be established with all three workers. Dependant steps are linked with each other. In order to build a fabricated situation for this station pathway, robots that control the atom manipulator has to provide ghost machines for each worker. One group of robots will work on W1, another group of robots will work on W2 and another group of robots will work on W3. All three groups have to collaborate with each other to synchronize their fabricated situations.
The current environment must also match with the environment of the station pathway. If building materials are located in one area in the station pathway, then the same building materials must be located in the same area in the current environment. The current environment and the environment of the station pathways can be slightly different, but it should be similar or same. The way to solve this problem is by setting up the current environment to look exactly like the beginning environment of the station pathway. Again, the two environments can be slightly different, but the two environments have to be as similar as possible. If the current environment and the environment in the station pathway are different in certain states, the robots controlling the atom manipulator has to modify the ghost machines to do tasks that will mimic the environment in the station pathways.
After every group has done their jobs they can use a videogame software to combine their work. For example, when a fabricated situation is created for W1, the robots can insert those instructions into the videogame software. When a fabricated situation is created for W2, the robots can insert those instructions into the videogame software. Finally, when a fabricated situation is created for W3, the robots can insert those instructions into the videogame software.
The videogame software will combine all instructions together. Encapsulation of work can also be managed by the videogame software. If there was one virtual character captain and 3 thousand workers under his command, the encapsulated work from these hierarchical virtual characters will be managed by the videogame software (refer to my last book for more information about this subject matter).
Another fact about encapsulated work is that the robots have to provide fabricated situations for the station pathway in terms of hierarchical visibility levels. A group of robots must do work in the human visibility level and another group of robots must do work in the atom visibility level. The videogame software will manage the complexity of fragmented encapsulated work and combine them together.
Referring to FIG. 51, the whole process of providing a fabricated situation for one increment of a station pathway will take 3 years. Since all work is done inside a virtual world, 3 years can be 1 nanosecond in the real world. After the fabricated situation is created, which is called one training session, the atom manipulator will test the training session in the real world to make sure it is correct. This process will repeat itself over and over again until the entire task in the station pathway is completed.
Thus, 1 nanosecond passes then a training session is executed. Then, 1 nanosecond passes then a training session is executed. Next, 1 nanosecond passes than a training session is executed. Then, 1 nanosecond passes then a training session is executed. This process will repeat itself over and over again until the entire task in the station pathway is completed.
The end result is an atom manipulator that is trained during runtime to accomplish a task.
Different types of atom manipulators
The atom manipulator must have a physical body. The atom manipulator is made up of a laser system and it can be applied to a plane, a car, a terminal, a computer, a human robot, a forklift, etc. For different types of atom manipulators there will be different types of instructions to control them. The instructions to control a car is different from the instructions to control a plane.
Different interface functions (or controls) are pegged to encapsulated work to do things. The robots can make any controls for each atom manipulator. A control stick can be included in a plane, a steering wheel can be included in a car and so forth. The controls on the atom manipulator will depend on what that machine is.
Regardless of what physical shape and size the atom manipulator is, it must be trained to do tasks from different angles. Getting back to the building house example, imagine that the task of building a house is the same for all training examples. Referring to FIG. 52, all 4 training examples show that the work is exactly the same, but the position of the atom manipulator is different (the X is the position of the atom manipulator). Regardless of where the atom manipulator is located the same work must be done to build the house.
This is accomplished by training it with different angles and different situations. The AI will self-organize data in a fuzzy logic manner and it will understand the complex patterns. FIG. 53 is a diagram showing one type of pattern. Let’s imagine that the station pathway was to carry a table from the living room to the kitchen, the atom manipulator can be in the kitchen and it will manipulate the environment so that the table will go from the living room to the kitchen. The atom manipulator can be in the bathroom and it can still move the table from the living room to the kitchen.
It looks at all the common traits between all the training examples. Patterns are established and it instructs the atom manipulator to do a task regardless of where it is located. These patterns will include intelligence of the workers, the goals of the workers, the physical task to be done and so forth.
To complicate things, thousands of atom manipulators are sent into the environment to do many tasks. For example, the total job of the atom manipulators is to build a city with many buildings, houses, and factories. These atom manipulators are controlled by a hub that instructs them to work in certain areas and to do certain tasks. In the hub, there might be a robot/s that will use a videogame to plot out where houses and buildings should be built. The videogame can instruct the atom manipulators to accomplish these goals. In the videogame, populous, the player can control what the environment will look like. The hub that controls thousands of atom manipulators can work the same way. Instead, the videogame in the hub can physically create houses, buildings and factories.
To complicate things even more. Imagine there are millions of hubs and in each hub there are thousands of atom manipulators. The tasks that these hubs can accomplish can be unlimited – they can build an entire Earth in less than a minute, equipped with a civilized society.
The hubs control certain atom manipulators and it does have the capabilities of communicating with other hubs. However, it should be noted that tasks should be independent and hubs only have the power to change the environment in their given areas. By isolating tasks and hubs, it is easier to manage complexity. In some cases, using a law book to do things, whereby all hubs have common knowledge of what can be done and what can’t be done is preferred. There might be some hubs that have higher ranking than other hubs or they have higher power. The hierarchical structure of hubs should be written down in knowledge books so that everyone knows the rules. Also, videogame software can be used to manage hierarchical structured hubs. What powers and privileges does one hub have can depend on knowledge books or videogame software they are given.
In order to time travel, trillions of hubs are sent throughout the Earth and each hub has a responsibility to fulfill. The atom manipulators will all work together to manipulate the environment based on the timeline of Earth. These atom manipulators will create ghost machines to change the environment. The primary duties for these ghost machines is: to take out molecules, combine atoms, to move solid objects, to bind molecules, to bend materials, to position air in a certain location, to knock em radiations around and so forth.
Different types of ghost machines and their functions
Ghost machines can be small like nanobots or it can be big like a human robot. The functions of these ghost machines are to do work by using the atoms, electrons and em radiations in the environment. Wind can move ghost machines around from one place to the next, air pressure can push certain appendages of ghost machines to carry objects, and the physical aspects of ghost machines can push objects around. The atom manipulator is used to create the ghost machines as well as to make them function a certain way. A laser system inside the atom manipulator will shoot beams of light at atoms (as well as electrons or em radiations) and these atoms will hit other atoms until atoms in a target area are moved.
Topics in this section will include discussing how certain objects are manipulated by the atom manipulator. If a person has lung cancer and the atom manipulator was used to extract all cancer cells from that person, the procedure will include opening up that person, moving certain organs around, identifying the cancer cells, cutting out all cancer cells, putting all the person’s organs back into their original positions, and sealing all wounds made. The atom manipulator has to function like a surgery team, whereby doctors, each specialized in different fields, work together to save a person’s life.
In the case of manipulating a computer, tiny ghost machines are needed to go into the computer and to manipulate the computer’s chips and circuits so a desired result occurs. These ghost machines are manipulating the physical aspects of the computer so it can access the hardware and software of the computer. It can stop the power supply from reaching the mother board, which results in the computer shutting down. It can introduce new software instructions into the computer that will manipulate the operating system to do a foreign task. The monitor’s hardware can be tampered with so that the display shows foreign visual picture that wasn’t created by the computer’s software. For example, the monitor can have a picture of a bird super-imposed on the operating system screen. This picture wasn’t generated by any software, but was generated by the ghost machines that went inside the monitor’s hardware to introduce foreign instructions to the video microchip.
In the case of the practical time machine, the ghost machines have to work backwards and put all atoms, electrons and em radiations back to the way they were in the past. EM radiation that comes from an electron has to travel back into the electron. Atoms that are moving forward have to move backwards. Blood that comes out of the skin, must go back into the skin. Water that fall from the sky must go back up the sky. Babies born have to go through reverse mitosis until it reaches its single cell state.
The atom manipulator has to provide the means of manipulating the environment. In my last book, I describe how the atom manipulator manipulates the air to move objects around. Using air can also break up molecular bonds or bind molecules together. However, manipulating air can only go so far. A more powerful method is to create ghost machines and to use the ghost machines to do intelligent work. These ghost machines must have some kind of shape and size so objects can be manipulated. A tiny hand the size of a needle point can be used to grab certain viruses from an area. The tiny hand has to have a shape made from solid matter that can grab the virus and pull it out of an area.
As of this writing, the news talk a lot about the swine flu possibly infecting our public schools. Human workers are needed to clean every square inch of the school, in hopes of getting rid of the virus. Viruses are very small and they can’t be seen with the naked eye. Workers can’t possibly get rid of all germs and viruses from the school. If the atom manipulator was used to get rid of all germs and viruses from the school, “all” germs and viruses can be destroyed. First, the atom manipulator has to identify all germs and viruses, it has to send out tiny nanobots, in the shape of a hand, to search and extract every germ or virus.
Viruses might be lurking below the surface of objects and it is the job of the tiny nanobots to go deep inside liquid or solid matter to get rid of these viruses. The identification of the virus will be done by the intelligence of robots that control the atom manipulator. The signalless technology will be used to map out a 3-d clarity tree of the environment. This clarity tree will contain all visibility levels of the environment. Once the 3-d clarity tree is created, the robots will run software to id possible areas where viruses can be found. Next, nanobots are sent to these areas to extract them and put them in a disposable area.
Atomic and molecule visibility level
If you look at a solid coin, you will notice that it is made from solid compact atoms. You are simply looking at it from a human visibility level. If you look at it from an atomic visibility level, you will notice that the atoms are miles apart and each atom and their parts are constantly moving. For example, the metal atom’s electrons are orbiting the nucleus and em radiations are being emitted from these electrons.
The speed of object movements is also another factor. An electron can emit thousands of em radiations in all directions in less than a second. We might look at an object like gravity as a constant thing, but if we observe gravity in terms of a fraction of a nanosecond, it really doesn’t affect an atom continuously. Atoms are in a state of animated suspension as time is slowed. We can shoot lasers at an object with a specific intensity continuously and the object will cancel out the gravity.
Lasers are used to bounce around objects (most notably atoms/molecules) because light travels fast. Even if we slow time, light still travels fast. The atom manipulator will use this as an advantage to manipulate the environment. The AI in the atom manipulator can store more frames in a pathway. This basically slows time in the environment. Building the most advance laser system that can shoot beams of controlled light in specific areas in the environment is another advantage.
Atom bondings will depend on physical or chemical bonding. A water molecule consists of a hydrogen atom and two oxygen atoms. All three atoms go through chemical bonding, whereby their electrons are shared. Other water molecules can bond with other water molecules to form visible water. Since atoms have miles and miles of space between them, the atom manipulator can change each atom and its parts even if we are dealing with a solid coin. The atom manipulator can change one atom in the coin or it can change 20 molecules in the coin or it can change all atoms in the coin. Sometimes, we want to change molecules that are located in the middle of the coin. Ghost machines are built to dig into the coin to a target area, manipulate the molecules, and then put all the digged out molecules back to the way they were.
The laser system is versatile and each beam of light can be controlled in terms of how intense the light should be, how fast the light is traveling and what direction it is traveling. The laser system can also shoot arbitrary numbers of light for each fire.
The next couple of sections will be examples to illustrate how the atom manipulator generates ghost machines for certain situations.
A nuclear blast can vaporize a city in less than 5 seconds. However, if we slow the time of the nuclear blast and look at it from an atomic level, each chain reaction is in a frozen state. The atom manipulator can be used to shoot photons at many specific areas and to cancel out the nuclear blast during the beginning of its chain reaction. This will create an “anti-nuclear weapon”.
In the case of the practical time machine, the atom manipulator has to reverse the chain reaction of the nuclear blast and work backwards. Energy that is released will be put back to its original state. However, a perfect timeline of a nuclear blast event must be recorded and every atom, electron and em radiation must be tracked every fraction of a nanosecond. The timeline that records the event has to record every frozen state of the blast. The laser system will be used to reverse everything that occurred – it has to position the atoms, electrons and em radiation exactly to the timeline incrementally. The atom manipulator can essentially “undo” a nuclear blast.
Making objects float
Gravity pulls objects onto the ground. Energy waves or movements of particles in the air push down on objects so they stay on the ground. If we slow time and look at how gravity works, you can see that arbitrary amounts of energy waves push objects downward. The atom manipulator has to cancel out these downward energy waves with opposite upward force so objects can float in the air.
Now that gravity is canceled out, the object itself has to have a neutral position. If the object is moving forward the atom manipulator has to use the laser system to bounce atoms/energy to hit the object by using an opposite force. If gravity is canceled and the movement of the object is canceled, then the object should float in the air.
In order for the object to be stationed in one specific area in the air, the atom manipulator has to cancel out forces incrementally. Gravity is constant and it hits objects on Earth every nanosecond. The atom manipulator has to adapt and change the forces in and around the object every increment so that the object floats in the air every second.
The atom manipulator can work in slow motion. The environment is frozen pictures in the mind of the atom manipulator. This can be accomplished by increasing the number of frames in the pathways.
Building different sized human robots (ghost machines)
So far, we only discussed human robots in the station pathways. We can build any type of robot and store their pathways in the station pathway. As stated earlier, the robots controlling the atom manipulator has to take the station pathways and provide a fabricated situation. These fabricated situations will provide the instructions for the atom manipulator to create and manipulate ghost machines.
Now, imagine that we create human robots the size of bacteria and they are given commands to do certain tasks. For example, a task might be to enter a cell and manipulate the dna strand. There orders might be to do this for every single cell on an organism.
These tiny human robots may have less intelligence than a real human robot, but they have two hands, two legs, eyes, ears, and mouth and they can function similar to a big human robot. As they live and breathe, their pathways can be stored in a universal brain and self-organize into station pathways. The robots controlling the atom manipulator can take these station pathways and make ghost machines to do their tasks.
A better idea is to build tiny dummy human robots and use a videogame to remote control these tiny robots. On one hand, the big robots are intelligent at a human-level and they are controlling a videogame that controls the tiny robot. This way the intelligence of the tiny robots are not present in their brains, but is hidden in the pathways that come from the big robot’s brain. The station pathway can store the big robot’s pathways controlling the tiny robots body through a videogame.
The robots that control the atom manipulator can use this station pathway to create ghost machines (tiny robots) that is controlled by a videogame and the player of the videogame is a big robot. The intelligence of the tiny robot is from the big robot.
Referring to FIG. 54, the station pathway contains a big robot’s pathway that is playing a videogame and this videogame is controlling the actions of a tiny robot. On the other hand, in the fabricated situation, the robot controlling the atom manipulator has to translate the station pathway. They have to create ghost machines based on the tiny robot in the station pathway, but the intelligence of the tiny robot comes from the big robot in the station pathway.
In more special cases, the big robot in the station pathways can use the videogame to control many tiny robots. The big robot can also use the universal computer program to encapsulate work and assign it to a user interface function in the videogame. By the way, if you encapsulate work in the station pathways, it will give the atom manipulator more functionality, but at the same time, the robots that control the atom manipulator has a harder time doing the fabricated situation because they are trying to mimic encapsulated work.
This method is not desired because encapsulated work in the station pathways must be recreated in the fabricated situation. Instead, the robots controlling the atom manipulator can combine encapsulated work together by using a videogame software. For example, one robot can create one fabricated situation and another robot can create another fabricated situation. A videogame will then combine these two fabricated situations together. One fabricated situation will have a ghost machine that manipulates the DNA in a cell, and another fabricated situation will have a ghost machine that manipulates the DNA in another cell. The videogame will combine the two fabricated situations so that in the combined fabricated situation, there are two tiny ghost machines that are extracting DNA from their respective cells.
Another method is by using a hierarchical structure of robots to control multiple tiny ghost machines to extract DNA from every cell in a living organism. FIG. 55 shows a captain and 5 workers. Each worker has to take their own fabricated situations to do and generate ghost machines to do their tasks. Also, each robot is responsible for their own visibility levels. For example, the captain is using D2 and D3 visibility level and the workers are all concerned with D4 visibility level.
A ghost hand
When doing surgery on a patient it is vital to make physical hands to move things around and to use cutting tools. The ghost hand will serve two purposes: 1. it can hold and push objects aside. 2. it can manipulate objects and use tools. There are slight problems that arise when creating this ghost hand. For human beings, we have a full body and our legs are pushing the floor so that our hands are positioned above the legs. When we move our hands we are using our legs to push the ground so that the force of the push is transferred over to our hands. If we build a ghost hand only, where will the force to move the ghost hand come from?
The answer is to use air pressure and to push certain areas of the ghost hand. This push will make the hand move. The ghost hand is like a machine and it has user interfaces. Inside the ghost hand are veins that send signals to the fingers to move a certain way. Maybe the atom manipulator can create electrical signals to certain veins to move the fingers. And at the same time it can send air pressure to the base of the hand to move. FIG. 56 is an illustration of a ghost hand. The ghost hand will copy the physical aspects of a worker’s hand in the station pathways. Maybe it’s prudent to copy certain muscles and veins too. The ghost hand should be a functional machine to do tasks similar to a real hand. Air pressure will be used to position the hand in a certain area and to move the hand. If the hand has to push a small button, then air pressure is applied to the base of the hand. This air pressure will give the hand the force to push the button and stay in its current position.
This hand must be able to push things aside and to get deep inside an object to extract things. When a worker fixes a car, they have to reach inside certain gears to turn caps and to use tools to tighten up bolts. This ghost hand should have the same capabilities as a real hand.
The solid matter of the hand can be made up of various mixtures of molecules from the air or it can be constructed from metal or soft plastic. As long as the ghost hand functions like a real worker’s hand, then the ghost hand is a success.
Using air particles to manipulate the environment
A ghost hand can be used to manipulate the environment. Another alternative is to simply use air particles to manipulate the environment. Imagine that a task for the atom manipulator is to take out the CPU of a computer. The computer is encased in a sealed casing. For human beings, we have to open the computer’s case and then take out the CPU. The atom manipulator can cut up certain areas of the casing and use air pressure to pull out the CPU. If the CPU is integrated into the desktop, then the atom manipulator has to cut out certain areas around the CPU and then carry it out of the casing. After the CPU is extracted, the atom manipulator will put the cut out plastic back into its original location (FIG. 57).
Cutting out objects is done by breaking the bondings between molecules at a microscopic level. If the bonding is a chemical bond, then the atom manipulator will hit the electrons that bind atoms together. If it is a physical bond, then the atom manipulator will hit the atoms that are bond together.
In cases where there is sufficient air movement, the outer shell of the object doesn’t have to be cut opened. Instead, atoms have to bounce around and enter the object through any air openings. For example, if the object is a house and the atom manipulator wants to turn the lights off in the living room, then the atom manipulator can shoot laser beams so that atoms can bounce around through openings in the house such as windows, cracks on the walls, the chimney, or the opening under the front door. All the atoms bounced around, through air openings in the house, will meet at a certain time and at a certain location. The certain area I’m referring to is the light switch for the living room. The air pressure around the light switch has to push the switch off. All the air pressure will converge at the light switch at the same time. This will result in the lights for the living room to shut off (FIG. 58).
Nanobots – tiny machines
This section will only outline the functionality of tiny machines and not the intelligence behind it. The atom manipulator creates tiny machines called nanobots. The nanobots are machines that have gears and interfaces so that it can do things. At the same time, the nanobots move by the atom manipulator.
FIG. 59 is a diagram depicting a nanobot. It is constructed to act and behave like a machine. Appendages and user interfaces are built into each nanobot so that it can do things such as carry an object around or push an object around or extract molecules from a larger object. In the diagram, the nanobot have clippers to hold objects. There are gears that allow air pressure to push to control certain functions of the nanobot. There are also two wings attached to the nanobot that guide the machine in certain directions.
The back of the nanobot contains user interfaces. These user interfaces accept air pressure to move certain parts of the nanobot. For example, the atom manipulator bounces atom1 to move the upper wing. It will bounce atom2 to move the left clippers. It will bounce atom3 to physically move the nanobot. These atoms are hitting the user interfaces only. The gears and circuits inside the nanobot will do all the hard work to make the machine work.
You can build any type of ghost machine. The user interface can be in any media type. For example, instead of accepting atoms, the user interface might accept photons. In fact, the user interface can accept a coded sequence of photons to carry out certain tasks. The smaller the ghost machine is the more limited in what it can do.
Controlling multiple nanobots (ghost machines) to do group tasks
We can create ghost machines without using the method described in previous sections. In the previous sections I use the training method, whereby there is a training situation and there is a fabricated situation. The fabricated situation should correlate with the training situation. The new method is to get rid of the training situation. Only the fabricated situation is present (FIG. 60).
This means that the robots controlling the atom manipulator don’t have to mimic the data in the station pathway. They can make up “any” fabricated situation and test it out in the real world during runtime. This new method only works for non-intelligent ghost machines like the nanobots. The nanobots don’t have brains so they don’t store data sequences of what they are thinking.
A hierarchical group of robots controlling the atom manipulator can use a videogame software to create the encapsulated work for the atom manipulator (FIG. 61). Each worker is under the supervision of the captain and the captain will communicate and analyze the work done by the workers through a videogame software. The captain will give orders for each worker to create the instructions to their ghost machines (nanobots) to do certain work in this area or that area. The workers will follow the captain’s command. The videogame software will combine all the work done by all workers. The captain can then use the universal computer program to assign the encapsulated work to a fixed software function such as a button. The captain can use the button in the future to do further work.
FIG. 62 shows each worker controls a group of nanobots and they each have goals that are given by the captain. The captain will not only tell them which nanobots they are in charge of, but also what their goals are. If many of these examples are trained and the AI generates floaters from this example, the task can be accomplished regardless of how many nanobots are present or where these nanobots are located. In other words, the floater can solve the problem under “any” circumstances or challenges.
Different sizes of ghost machines working together
We talked about tiny robots like nanobots and we talked about big human robots that take the physical form of a ghost machine. In a dynamic environment different sized ghost machines have to work together to do work. The big ghost machines have to work with the tiny ghost machines to accomplish tasks. In order for different sized ghost machines to communicate with each other, a hierarchical team of robots have to control the atom manipulator. FIG. 63 is a diagram depicting a hierarchical team of robots providing the instructions (fabricated situation) for the atom manipulator. Just a reminder, the fabricated situation is done in fragmented sequences and is combined by the videogame software. The fabricated situation can also be encapsulated.
In the diagram D1-D4 represent visibility levels and the visibility level goes from general to specific. At the top of the tree (D1) human visibility is present and big ghost machines are being controlled. At D4, the level is atom visibility and small ghost machines are being controlled called nanobots. In the hierarchical team of robots controlling the atom manipulator, the captain is responsible for controlling the big ghost machines and will send tasks to the workers to control the smaller ghost machines. The captain and the workers are different entities and they do their own tasks. The videogame software will provide the communication means for the captain to communicate with the workers and vice versa. The captain is responsible for controlling the big ghost machine to do tasks and the workers are responsible for controlling the small ghost machines (nanobots) to do tasks.
For example, the task to be done by the team of robots might be to do lung cancer surgery on a patient. The captain will control the big robot to open up the body of the patient and to provide an opening toward the lungs. When that task has been fulfilled, the captain will send orders to the workers to control the tiny ghost machines (nanobots) to search and extract any cancer cells in the lungs. The workers will use the videogame software to do their jobs. Each worker might be given specific areas to search and destroy and these given areas are assigned by the videogame software. When all workers are done accomplishing their task, they will send a message to the captain via the videogame software stating they are done. The captain will observe the results and determine if the task is completed successfully. If it is, then the captain will control the big ghost machine to pull out of the patient and he will give orders to the workers again. This time, they have to use the tiny ghost machines to seal off all wounds made by the big robot. Their task includes bonding molecules together exactly to the state before the surgery layer by layer starting from the closest organ to the lungs.
After the workers have accomplished their second job, they will send a message to the captain via the videogame software stating they completed the task. The captain will observe the results to see if the tasks are completed successfully. If the captain is satisfied, then the entire task of curing a patient from lung cancer is completed.
This example shows that hierarchical teams of robots controlling the atom manipulator have to work together in order to communicate and control different sized ghost machines. Each ghost machine is controlled in different visibility levels and each worker is working in different visibility levels. The videogame software is what allows the robots to communicate with each other and to organize information for each robot.
Encapsulated work by different sized ghost machines
The last example only serves one patient. What if the task to be done is to serve 3 patients. We simply add another upper level to the hierarchical team of robots controlling the atom manipulator. FIG. 64 is an illustration of a team of 3 captains and each captain has 5 workers. Each captain is given orders by the super captain to do tasks. The super captain will assign one patient per captain and their orders are to cure the patient from lung cancer.
Most of the time work has to be encapsulated by the videogame. What this means is that work has to be done at different times and independently from each other. Usually, encapsulated work is done from the bottom up.
For extremely complex tasks, teams of robots work independently. Since all teams can’t be trained at once, it is the job of each team member to encapsulate their work using the universal computer program. FIG. 65 shows that each section has to be trained from the bottom first and then trained towards the top levels. It can’t be trained from the top to the bottom because if encap3 was trained first the desired output will be wrong and further because encap3 needs encap2 and encap1.
However, when all sections of the overall task are trained adequately, any section or combination of sections can be trained and each trained section will be stored in their respective areas. For example, if all sections in the overall task are trained, encap3 or encap2 or encap1 or element combinations from each section can be trained.
The videogame software will store the fixed interface functions in memory and combine them if necessarily.
The idea is to separate sections of the overall task into independent sections. What sections in the task should be grouped together independently and assigned to a fixed software function? People can do research and find the best groupings. These research methods are then put into books and should be widely read by people who are in the field. Of course these research methods don’t have to be fixed; if other writers find a better method they can also replace old methods with newer methods.
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