Knowledge Representation, Reasoning and Declarative Problem Solving
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- Author: Chitta Baral, Arizona State University
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Knowledge management and knowledge-based intelligence are areas of importance in today's economy and society, and their exploitation requires representation via the development of a declarative interface whose input language is based on logic. Chitta Baral demonstrates how to write programs that behave intelligently by giving them the ability to express knowledge and reason about it. He presents a language, AnsProlog, for both knowledge representation and reasoning, and declarative problem solving. Many of the results have never appeared before in book form but are organized here for those wishing to learn more about the subject, either in courses or through self-study.Read more
- First book in 2003 on knowledge representation and reasoning using logic programming, and integrates them with declarative problem solving
- Many executable, declarative programs; a website will contain models and dlv code
- Comprehensive coverage of declarative logic programming with lots of small examples, model computation algorithms, system descriptions, and several application developments
Reviews & endorsements
Review of the hardback: 'I wholeheartedly recommend this book to researchers and students in the fields of logic programming, declarative programming and knowledge representation.' Journal of Transport, Law and PolicySee more reviews
Review of the hardback: '… the appearance of an extensive book with such a deep theoretical content and with analyses, methods and examples useful for practical applications is admirable after the very short history of Answer Set Programming.' Zentralblatt MATH
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- Date Published: January 2005
- format: Adobe eBook Reader
- isbn: 9780511030659
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Declarative programming in AnsProlog*: introduction and preliminaries
2. Simple modules for declarative programming with answer sets
3. Principles and properties of declarative programming with answer sets
4. Declarative problem solving and reasoning in AnsProlog*
5. Reasoning about actions and planning in AnsProlog*
6. Complexity, expressiveness, and other properties of AnsProlog* programs
7. Answer set computing algorithms
8. Query answering and answer set computing systems
9. Further extensions of and alternatives to AnsProlog*
10. Appendix A: Ordinals, lattices, and fixpoint theory
11. Appendix B: Turing machines
Index of notation
Index of terms.
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