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Uncertainty - Coggle Diagram
Uncertainty
Lack of clarity or information regarding the results leads to uncertainty. It refers to the incapacity of AI and decision-making to make specific predictions about the future.
Rational Decision-Making
Choosing actions logically based on goals, risks, and data
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Chaos Theory
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Appears unpredictable, but governed by rules
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Markov Models
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Applications: Speech recognition, weather modeling, search engines.
Stochastic Process
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Applications: Finance, physics, biology, AI modeling.
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Types of Uncertainty
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Aleatoric Uncertainty – Randomness that can’t be reduced (e.g., dice rolls).
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