Many things that happen in life are following a certain path. That means recognizing that path can help people to avoid things like Alzheimer's. And that thing can also improve people's life quality, who are living with that disease.
The AI can predict many things that are happening in certain ways. The AI can control information and, make models about things, that follow certain paths. So the AI can connect information about tissue types and lifestyle. And then, the AI can connect that data with other people with similar tissue types.
We know how Alzheimer's advances and AI can predict and warn a person if that person has the risk to get that disease. In the same way, AI can connect things like lifestyle and other variables to predict how some disease advance. But those diseases must have a certain development curve. If AI recognizes that curve, it can find similarities in other places.
In the same way, the AI can collect variables about the history of car accidents. That thing can uncover many things about the lack of automobiles. The variables that the system can collect are the lighting conditions, speed, and many other things. That can help to find out if there is something common thing, that unites certain accidents.
The idea of the AI that predicts the future is this. The two first cases are offering the matrix. And then when the third thing is under observation that makes that thing the rule. So if a certain number of certain cases follow certain curves, that means, we can predict that the rest of similar cases, follow the same advancing routes.
"Alzheimer’s disease, a progressive neurological disorder, is the most common form of dementia affecting millions of people worldwide. This devastating condition erodes memory, cognitive abilities, and eventually the ability to perform daily tasks".(ScitechDaily.com/ Genetic Risk Outweighs Age: Machine Learning Models Rank Predictive Risks for Alzheimer’s Disease)
Although primarily associated with aging, Alzheimer’s has a complex interplay of genetic, environmental, and lifestyle factors". (ScitechDaily.com/ Genetic Risk Outweighs Age: Machine Learning Models Rank Predictive Risks for Alzheimer’s Disease)
Like in predictions of Alzheimer's and other diseases, social situations can follow certain routes. And that thing can make it possible to predict people's behavior in the future.
In Isaac Asmimov's science fiction novel "The Foundation", people can predict the future by using mathematical formulas called "Psychohistory". The idea in that system was that the system uses formulas that are the same as Ludwig Boltzmann's gas formulas or so-called NTP (Normal Temperature and Pressure).
We could say that psychohistory is the fictional thing that connects sociology, history, and mathematics. Wikipedia describes that thing like this: "Psychohistory is a fictional science in Isaac Asimov's Foundation universe which combines history, sociology, and mathematical statistics to make general predictions, about the future, the behavior of very large groups of people, such as the Galactic Empire. It was first introduced in the four short stories (1942–1944) which would later be collected as the 1951 novel Foundation". (Wikipedia/Psychohistory (fictional))
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In real psychohistory, the observers also use certain variables.
The next part is a quotation from the article "Psychohistory" from Wikipedia. And the AI also can make decisions or predictions by using those variables.
There are three interrelated areas of psycho-historical study.
1. The history of childhood – which looks at such questions as:
How have children been raised throughout history
How has the family been constituted
How and why have practices changed over time
The changing place and value of children in society over time
How and why our views of child abuse and neglect have changed
2. Psychobiography – which seeks to understand individual historical people and their motivations in history.
3. Group psychohistory – which seeks to understand the motivations of large groups, including nations, in history and current affairs. In doing so, psychohistory advances the use of group-fantasy analysis of political speeches, political cartoons, and media headlines since the loaded terms, metaphors and repetitive words therein offer clues to unconscious thinking and behaviors.
(Wikipedia/Psychohistory)
https://en.wikipedia.org/wiki/Psychohistory
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During the time, when Asimov introduced his psychohistory was not even computers. Things like supercomputers, ChatGPT, and quantum computers were utopia. The fact is that we might re-estimate many things because today we have highly advanced AI and quantum computers. And those systems can make this thing closer to reality than we even imagine. Quantum systems can handle much larger data masses than ever before.
The idea is that the system can calculate the movements of a large group of particles. It's easier to calculate the movements of the large-scale galaxy group than calculate one gas atom's place in the room because there are so many variables.
When the AI predicts the future it collects data from the past. Then it will find similarities in the behavior of people. The idea is that all social cases follow certain routes or curves. And the AI can find similarities in the cases in the past and then compare those cases with the things, that are happening just now.
Predicting the future by using AI is a very interesting idea. The AI that can connect the matrix, and the data that it collects can make also the behavior of social situations can calculate by using the AI.
https://scitechdaily.com/genetic-risk-outweighs-age-machine-learning-models-rank-predictive-risks-for-alzheimers-disease/
https://en.wikipedia.org/wiki/Ludwig_Boltzmann
https://en.wikipedia.org/wiki/Psychohistory
https://en.wikipedia.org/wiki/Psychohistory_(fictional)
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