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Knowledge Representation and Reasoning Under Uncertainty

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Cover of 'Knowledge Representation and Reasoning Under Uncertainty'

Table of Contents

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    Book Overview
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    Chapter 1 The role of expectations in reasoning
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    Chapter 2 On logics of approximate reasoning
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    Chapter 3 Gentzen sequent calculus for possibilistic reasoning
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    Chapter 4 A model of inductive reasoning
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    Chapter 5 Automated reasoning with uncertainties
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    Chapter 6 An axiomatic approach to systems of prior distributions in inexact reasoning
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    Chapter 7 Contradiction removal semantics with explicit negation
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    Chapter 8 Logic programming for non-monotonic reasoning
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    Chapter 9 Agent oriented programming: An overview of the framework and summary of recent research
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    Chapter 10 An application of temporal logic for representation and reasoning about design
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    Chapter 11 Knowledge theoretic properties of topological spaces
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    Chapter 12 Rough logic for multi-agent systems
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    Chapter 13 A logical approach to multi-sources reasoning
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    Chapter 14 Situation theory and social structure
Attention for Chapter 12: Rough logic for multi-agent systems
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