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Uncertainty: Probability and Markov chains - Coggle Diagram
Uncertainty: Probability and Markov chains
Rational decision
Right thing to do
This choice is based on the likelihood of attaining each goal and its proportional relevance.
Decision theory
Decision theory =
probability theory + utility theory
Markov Chains
Markov mathematical system that experiences state space transitions Markov Chains
Uncertainty
Logical and problem-solving agents monitor one's belief state
Belief state: a depiction of every potential condition of the world
They prepare for the worst.
Cons: Excessive rationality
Probability theory
A degree of belief is provided by agent knowledge.
A method of summing the uncertainty resulting from our ignorance and laziness is provided by probability!
SAME - World composed of facts
DIFFERENT - Logic says TRUE/FALSE -Probability has degree of belief from
Probability
Sample space is equal to all potential results.
Probability simply applies to the knowledge we now possess.
Chaos Theory
Based on deterministic processes
Web link
https://www
l/cis.temple.edu-wing/3203-Al/Lecture/Uncertainty. Html
https://www.vedantu.com/maths/stochastic-process
https://www.britannica.com/sciencelrandom-walk
https://www.britannica.com/scienceldecision-theory-statistics
At micro level
Minor adjustments might have significant effects ("butterfly effect").