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About Artificial Intelligence
This document discusses techniques for reasoning with incomplete or uncertain models, as the real world is uncertain. It describes various methods of reasoning, both monotonic (where conclusions never change) and non-monotonic (where conclusions can change in light of new information). Non-monotonic reasoning is needed to handle incompleteness, inconsistencies, and changes over time in world knowledge. Various logics for non-monotonic reasoning are examined that aim to define possible worlds, prefer some models over others, provide a practical implementation, and correspond to intuitions about this type of reasoning. Default reasoning, where conclusions are drawn based on what is most likely true, is a common form of non-monotonic reasoning.
Detailed Information
| Author: | ['Vaibhavi Agnihotri'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 49 |
| Language: | English |
| Format: | |
| Price: | FREE |
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