Knowledge Representation Reasoning and the Design of Intelligent Agents The Answer Set Programming Approach 1st edition by Michael Gelfond, Yulia Kahl 1107779464 9781107779464

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ISBN-10 :  1107779464 

ISBN-13 :  9781107779464

Author:   Michael Gelfond, Yulia Kahl 

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and how it can be used to solve non-trivial computational problems. The authors maintain a balance between mathematical analysis and practical design of intelligent agents. All the concepts, such as answering queries, planning, diagnostics, and probabilistic reasoning, are illustrated by programs of ASP. The text can be used for AI-related undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.

Knowledge Representation Reasoning and the Design of Intelligent Agents The Answer Set Programming Approach 1st Table of contents:

1 Logic-Based Approach to Agent Design
2 Answer Set Prolog (ASP)
3 Roots of Answer Set Prolog
4 Creating a Knowledge Base
5 Representing Defaults
6 The Answer-Set Programming Paradigm
7 Algorithms for Computing Answer Sets
8 Modeling Dynamic Domains
9 Planning Agents
10 Diagnostic Agents
11 Probabilistic Reasoning
12 The Prolog Programming Language

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Tags: Knowledge Representation, Reasoning, the Design, Intelligent Agents, Programming Approach, Michael Gelfond, Yulia Kahl