<< content Chapter 5
Details of predicting the past, present and future
The first goal of predicting all events, objects and actions on planet Earth is to collect as much data from the current environment as possible. All data from electronic devices such as cell phones, laptops, computers, networks, cameras, satellites, sonar sensors, sensing devices, ipads, human robots, and so forth, has to be collected and sent to appropriate computers to be processed. For example, if a team of virtual characters are trying to collect as much information about personX, all electronic devices that relate to personX will be transmitted to the team. If personX is walking in downtown and a camera picks up his image, that information will be sent to the team. If personX is using his cellphone/laptop/computer/ipad/iphone, that information will be sent to the team. If other people are talking about personX on chatrooms, twitter or on a cellphone, that information will be sent to the team. In other cases, any news story relating to personX on TV, newspaper, magazine, or online will be sent to the team.
The team specifically requested any network station that collects information about personX to send that information to the team. In this chapter, we wonít be going into the details of the ďnetwork technologyĒ that allows this to happen. This chapter is focused on the virtual characters working as a team to make sense of the mountain of data that is coming from the internet about personX. These virtual characters have human level artificial intelligence and they use software to extract information to do past and future predictions on personX.
Teams of virtual characters can also access search engines to find information at the moment about a thing, place, person or event. However, only public information is available so search engines provide only public information. Automated software to search the network to find information about an object can be used by these virtual characters. Using these software, they can control how much information to search for, what information to search for, where the information originated and so forth about an object.
They can also manually search for data online or on private networks.
In the above example, the team of virtual characters is doing past and future predictions only on one person. Billions of teams, structured in a hierarchical manner, are needed to predict all events, objects and actions on Earth. They will work together and divide tasks among the teams to do their predictions.
Each team of virtual characters working on their predicted models will have automated software that will feed information on objects or events they are currently predicting. These software contains user interface functions that allow the virtual characters to change what kind of information to feed into their computers.
The virtual characters will also be using the signalless technology to map out the current environment as fast as possible and track every object, atom and electron. The signalless technology is only concerned with tracking the atoms of the current environment; it isnít interested in predicting the past or future. The real predictions are made by the teams of virtual characters.
The virtual characters can also specify targeted objects they want to track atom-by-atom. For example, if the virtual characters were in Hawaii and a football game is playing in California, the virtual characters can specify to the signalless technology that the target object is the football stadium. In another case, the virtual characters might specify that the target object is the football stadium and a 1-mile radius of all objects from the football stadium.
If the football stadium is the target object, all electronic devices related to the football stadium will transmit its data to the signalless technology and the system will automatically generate an atom-by-atom map of the football stadium and send that information to the prediction internet. This map will contain the 3-d map of all the fans, the players, the coaches, the referees, TV crews, and so on. The 3-d map will be done frame-by-frame. Also, the data from the 3-d map of the football stadium will be sent hierarchically Ė from general to detailed. As soon as the signalless technology generates a 3-d map, it will be transmitted to the prediction internet and any virtual character can use software to access objects in the 3-d map.
In fact, all electronic devices on planet Earth will transmit its data to the signalless technology and the signalless technology will generate a 3-d map of all objects on Earth as quickly as possible. This 3-d map will be posted on a website on the prediction internet and people can go there to access whatever information they choose.
The knowledge center and the prediction internet
The knowledge center is where all information about Earth are stored (FIG. 20). It contains not only electronic data, but data from physical objects like books and documents. In the prediction internet, virtual characters will make predictions and they will store their predictions in a meaningful universal timeline.
Predictions made by virtual characters can be in any media type. It can be a book, a short report, a comic book, a 2-d movie, a 3-d movie and so forth. Most likely, the prediction media is a 3-d animation, so that all angles of an event are depicted. If a video (which is 2-d) is captured, that video will be attached to the 3-d movie it represents. The timeline of Earth will store both the 3-d movie and the 2-d movie of events.
All activities over the internet will be stored as they occur in the timeline. If a surveillance camera captures a scene for 5 hours, that video is attached to the physical 3-d map of the surveillance camera and when it occurred. If a person takes a picture of a whale, that image will be attached to the 3-d event of that person and the whale. If a user buys shoes from a website, that data will be stored in the 3-d representation of the user.
Itís not just the electronic data that is stored that needs to be tracked, but the electrical signals sent from computer to computer. The tracking will include storing how, when, where, and what electrical signals were send from computer to computer and how the electrical signals are stored in a harddrive and how the computer processes the data to display a video on a monitor.
In fact, all electronic devices must record all their internal processes and activities. The physical aspects of the electronic device are one type of data, and the electrical signals they transmit are another type of data that must be stored in the timeline.
The knowledge center is just a chaotic container that stores information from the internet, (TV networks, radio stations, electronic devices, camera systems, sensing devices, computers), physical books and documents, data stored in electronic devices and so forth.
The prediction internet is a place where the virtual characters are using technology (software and hardware) to organize the data into a universal timeline of Earth. They have to take whatever data that comes in from the knowledge center and use them to fill in missing data. They also have to take the data from the knowledge center and store them in the timeline of where, what, when and how they were created.
The AI time machine can act as a search engine to find specific data in the knowledge center or to find specific data from the prediction internet. As stated before, the AI time machine is a more advance type of search engine. I use the term ďtask engineĒ to describe the AI time machine because it can accomplish complex tasks for a user. One of its tasks is to search for information over the internet. The current search engines (2010) canít do tasks. For example, it canít write an operating system in less than one second or file a patent with the United States patent office.
Predicting current events in Earthís timeline
For the present, all objects on Earth are tracked every fraction of a nanosecond. All intelligent objects, non-intelligent objects, computers, electronic devices, atoms, electrons, protons, neutrons, em radiations and so forth are tracked.
These objects are tracked based on what is available to analyze in terms of data from electronic devices like cameras, computers and phones. Based on the available data, the virtual characters will work together to fill in all the missing data and to track objects that arenít in the knowledge center. In most areas of the world there are no cameras or phones in every corner. Most objects in the World are hidden to any electronic sensing device. The virtual charactersí job is to guess what these missing objects are by analyzing the available data and using technology to predict what objects are missing.
For the present predictions, all objects on Earth are structured hierarchically. Each objectsí importance is based on how much influence that object has with the rest of the World. For example, the president of the United States is more important than any given citizen. This importance will place the president with top priority and teams of people will be tracking his every action and thoughts first.
The world is changed because of the actions of intelligent objects. Human beings decide what the future events of Earth are. Because of this reason, human beings have top priority compared to other living organisms. Animals and sea life also decide what happens to the Earth. If there is no food, the human race wonít exist. Thus, life is one complicated interconnected web.
Although human beings have top priority, we still need to predict other objects. The tracking of all objects on Earth has to be done uniformly and simultaneously. Large visible objects must be tracked first. The teams of virtual characters has to track all human beings, animals, houses, bridges, buildings, oceans, lakes, weather patterns, computers, networks, electronic devices, and so forth.
Next, the teams of virtual characters have to track smaller objects within these larger objects like insects, small items, tiny sea life, blotches of bacteria and so forth.
Then, the teams of virtual characters have to track non-visible objects within the small objects such as bacteria, air, bed bugs, sand and so forth.
Finally, the teams of virtual characters have to track very tiny objects like atoms, electrons, em radiation, electrical signals, electricity flow, protons, neutrons, molecules and so forth.
By tracking all objects on Earth, hierarchically, the teams of virtual characters can organize their tracking objects. FIG. 21 is a diagram depicting how the virtual characters should predict the current environment of Earth. The larger objects are tracked first. When all or most of the large objects are tracked, they will track the small objects. After all or most of the small objects are tracked, they will track the non-visible objects. Finally, after all or most of the non-visible objects are tracked, they will track the microscopic objects.
Predicting past events in Earthís timeline
Human beings are the primary reason that the Earth changes. It should be a no brainer to predict the lineage of the entire human family. Every human being that existed in history should be plotted on a family tree. Websites like ancestry.com provide scanned and registered documents of family connections. The information is valuable in terms of tracking every single human being on Earth, not just for the present environment, but our distant past.
The virtual characters have to create a family tree that spans thousands or millions of years from the present day. Once the family tree for the human race has been predicted, the virtual characters can move on to family trees for our ancestors like the Cro-magnums or hobbits. Once the family trees are created for these primitive organisms, the virtual characters have to build family trees for apes (this is assuming that human beings evolved from apes). Next, they have to predict the family tree that created the apes. This will go on and on until every single life-form on Earth is tracked, recorded and attached to a universal family tree.
All living organisms are interconnected in an eco-system. The universal family tree will comprise all life-forms, this would include: humans, animals, reptiles, bugs, insects, bacteria and cells.
The universal family tree is important because it shows that certain organisms in the past existed. Data from this universal family tree can be used to prove unsolved mysteries in the past. Things like cold cases or agriculture behaviors or migration patterns can be solved using this universal family tree.
As stated before, there is no way that this universal family tree can be created independently. Events, objects and actions have to be predicted in an interconnected manner and in increments. FIG. 22 is a diagram showing a method to predict past events in an interconnected manner. The X circles represent general events, the black circles represent normal events, and the white circles represent detailed events. Letís say that the virtual characters wanted to predict J3 (a detailed event). Most of the X circles must be predicted first before doing predictions on the black circles. When most of the black circles are predicted, then the white circles can be predicted. When all or most of the black circles are predicted, all the white circles can also be predicted, not just J3.
On the other hand, letís say that only some X circles are predicted and the virtual characters wanted to predict J3. There may not be enough information there to predict J3. If you look at cold cases, the reason that investigators canít solve these cases is because there arenít enough clues to work with.
In FIG. 22, there are three incremental years: 1932, 1931, and 1930. The teams of virtual characters will work on 1932 first, predicting an adequate amount of events. Next, it will predict general events in 1931 and slowly predict its detail events. Finally, they will predict general events in 1930 and slowly predict its detail events. The virtual characters are actually predicting events in all three years simultaneously. While the teams are predicting the detail events of 1932, they are predicting the normal events in 1931 and they are also predicting the general events of 1930.
The detailed event J3 is found because the teams were able to predict the general events (X circles) and the normal events (black circles). This also means that the virtual characters has adequate knowledge to predict all the detailed events (white circles) from 1930-1932.
In FIG. 19, the real virtual characters and the API are working together using the method above to predict past events in Earthís timeline.
Predicting the human family tree require using hierarchical interconnected prediction (the method described above). Usually, governments register all citizens and their family members. Before the colonial days, no one had to register their family tree. Family trees before the colonial period would require virtual characters analyzing information and coming up with predictions. Some family trees are easy to predict. There might be 5 or 6 unknown people living in a small area of Hawaii in 1460. The virtual characters might be able to use logic to fit them into certain families. Human logic like: a human being has 2 parents, a male and female; family members live close to each other; and inbreeding in family members might produce deformed babies are used to find out which unknown human being belongs to which families.
If there were two couples living in a small area of Hawaii in 1460. CoupleA is around 60 years old and coupleB is around 30 years old. There is an unknown person that existed in 1460 and this person is 5 years old. The virtual characters will assume that the child might belong to coupleB (in their 30ís). CoupleA is much too old to have a child in their late 50ís.
There are other cases where itís harder to predict what family an unknown person is tied to. If we lived in the 1780ís and a slave from Korea was brought to Hawaii to work in the plantation farms, it would be difficult to find out where this slave came from. Because the virtual characters donít know where this slave came from they canít assume what family he belongs to.
In order to solve this case, the virtual characters have to find out what boats traveled to Korea in the years around 1780. Letís say that an old pirate journal was kept and a ship sailed to a small village in Korea in 1777 and no other year records any ship going to Korea, then we can safely say that this unknown Korean slave came to Hawaii in 1777 from a small village in Korea. These virtual characters can do further investigation and find out that in the small village, a family tree is carved onto an old stone. The name of the Korean slave is carved into the stone. This evidence confirms that this unknown Korean slave has family in this small village.
The human family tree is very important because it shows the existence of human beings living in certain time periods. By understanding human existence we can predict the food consumption and market activities. Obviously, human beings have to eat and they usually eat meat and vegetables. Meat is had by killing cows and pigs, while vegetables have to be planted in farms. People are responsible for the work that is needed to process and sell food in the market place.
The human family tree can tell us things like how many animals are needed to sustain the human population or how many workers are needed to run the farm. This information is vital when it comes to predicting the family tree for animals or plants.
The virtual characters can go into the details and predict where people worked and what they were doing at all times in terms of making food and selling them in the marketplace. The existence of food can also be predicted Ė identifying the animals and plants that are needed to make food.
I was going to give more and more examples of how the teams of virtual characters can predict past events, but I wonít do that. I think I already given ample examples in my previous books.
Creating the universal family tree for all living organisms on Earth for the past is vital because living organisms change the future (FIG. 23). For each organism in the universal family tree their lifetime is stored. Every single 5 sense data, thought or physical action for each organism are recorded in the timeline. People might think that a bacteria is insignificant and that it doesnít matter. The truth is that a single bacteria can enter a human beingís body and multiply quickly. As a result of the single bacteria, the human being can get sick. If this person is a president of a country and he has an important meeting, his sickness might result in the meetings cancellation. All of this occurred because of the existence of one bacteria.
Creating this universal family tree isnít going to be easy. The virtual characters have to predict events incrementally. They predict events and objects in 1432 before they can predict events in 1431. The next prediction year will be 1430 and the year before that is 1429. If the virtual characters hope to predict events and objects that existed millions of years ago, they have to incrementally and uniformly do their predictions.
Predicting future events in Earthís timeline
If we predict most events, objects and actions in the present and in the past, is it possible to predict the existence of living organisms in the future? In other words, can we predict the existence of human beings that will exist in the future?
In my previous books, I talk about how to predict the existence of future human beings. If we wanted to predict a Superbowl that will happen 300 years into the future, we need to predict players that will exist in the distant future. Some of my methods used in previous books include predicting mating events, predicting the creation of fetuses, predicting the merging of two separate DNAs and so forth. The prediction of future human beings is one of the most difficult tasks that the virtual characters will have to face. It is even harder than predicting the outcome of a football game. For example, the virtual characters have to predict the entire lifetime of a future human being, from conception to their grave.
Itís not just future human beings the virtual characters have to predict, but all living organisms that will exist in the future, including: human beings, animals, plants, trees, reptiles, bacteria, insects, fishes and so forth.
In addition to that, the teams of virtual characters has to predict non-intelligent objects like houses, computers, networks, water, weather patterns, etc, etc.
Predicting the future requires breaking up objects in our current environment in terms of priority, grouping important objects together (the prediction tree) and predicting events, objects and actions hierarchically and uniformly.
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