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About CH 7 - Uncertain Knowledge & Reasoning2
This document discusses uncertainty in artificial intelligence. It defines uncertainty as a summary of all that is not explicitly taken into account in an agent's knowledge base. It discusses sources of uncertainty like uncertain data, knowledge and inferences. Approaches to handling uncertain knowledge include default reasoning, worst-case reasoning and probabilistic reasoning. Probabilistic reasoning assigns probabilities to beliefs and chooses actions to maximize expected utility. Rational decisions under uncertainty involve using probability and utility theories to select the action with the highest expected utility.
Detailed Information
| Author: | ['سجاد الحاجي'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 89 |
| Language: | English |
| Format: | |
| Price: | FREE |
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