Knowledge Representation, Reasoning, and the Design of Intelligent Agents
The Answer-Set Programming Approach

This in-depth introduction for students and researchers shows how to use ASP for intelligent tasks, including answering queries, planning, and diagnostics.

Michael Gelfond (Author), Yulia Kahl (Author)

9781107029569, Cambridge University Press

Hardback, published 10 March 2014

360 pages, 25 b/w illus. 3 tables 97 exercises
23.5 x 15.7 x 2.3 cm, 0.61 kg

'Michael Gelfond is one of the creators of answer-set programming, a new programming methodology based on artificial intelligence that has already found several important applications. I am extremely impressed by the clarity of thought and examples provided. The authors are to be congratulated on this excellent addition to the literature.' Vladimir Lifschitz, University of Texas, Austin

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.

1. Logic-based approach to agent design
2. Answer set Prolog (ASP)
3. Roots of ASP
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.

Subject Areas: Artificial intelligence [UYQ], Computer science [UY], Software Engineering [UMZ], Programming & scripting languages: general [UMX], Computer programming / software development [UM], Intelligence & reasoning [JMRN], Cognition & cognitive psychology [JMR]