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Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The AnswerSet Programming Approach,Used
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Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledgeintensive 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 knowledgeintensive systems can be given knowledge about the world and how it can be used to solve nontrivial 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 AIrelated undergraduate and graduate classes and by researchers who would like to learn more about ASP and knowledge representation.
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