You want your model to work in reality, and therefore you have to assume that others have their own models.
It is a game. Like playing chess. Or the usual “prisoner’s dilemma”.
From models, we will move to the interaction between models- and between different decision paths within a model.
A down-to-earth introduction to the game theory.
This post is part of a series, first published in May 2009.
When you build a model of reality, you try to reduce complexity.
Reducing complexity means making choices- and reducing the risk of something unexpected affecting the results of your model.
Actually, it means also reducing the number of parameters- and, therefore, making any evolution in your world more predictable.
But reality is not necessarily limited by your definition: and managing the reality within a model requires more that planning beforehand for what you know, in terms of activities or risks.
You have also to identify what is the “normal” way in which your model will react to unexpected changes in the “reality” surrounding your model.
This post is part of a series, first published in May 2009.
Since 1980s, also what once were called “broadsheets” started writing often about models.
Or- how whatever you do (as a person, group, organization, society) can be fed into a model, that can then tell what you are going to do next.
Let’s say that, for the time being, this automated removal of free will is just part of science fiction.
This post is part of a series, first published in May 2009.