The Markov Architecture of Human Thought
Автор: ThoughtLab
Загружено: 2026-01-17
Просмотров: 7
The provided text explores the application of Markov processes to mathematically simulate the complex, step-by-step nature of human cognition. This framework treats thinking as a stochastic journey, where the mind moves through various mental states based on probabilistic transitions rather than a fixed path. A central rule of this model is the Markov property, which suggests that the next thought depends entirely on the current state rather than the history of how one arrived there. To reach a conclusion, the process utilizes absorbing states, which act as final destinations that terminate the mental chain once an answer is found. Finally, the source introduces semi-Markov processes to account for varying reaction times, allowing for a more realistic representation of how the brain navigates different levels of intellectual difficulty.
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