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Handbook of Knowledge Representation, 1st Edition

 
Handbook of Knowledge Representation, 1st Edition,Frank van Harmelen,Vladimir Lifschitz,Bruce Porter,ISBN9780444522115
 
 
 

van Harmelen   &   Lifschitz   &   Porter   

Elsevier Science

9780444522115

9780080557021

1034

240 X 165

This indispensable handbook describes essential foundations of artificial intelligence

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Key Features

* Make your computer smarter
* Handle qualitative and uncertain information
* Improve computational tractability to solve your problems easily

Description

Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically.

The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field.

This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.

Readership

Graduate students and researchers in knowledge representation, graduate students and researchers in artificial intelligence, practitioners in artificial intelligence

Frank van Harmelen

Affiliations and Expertise

Vrije Universiteit Amsterdam, The Netherlands

Vladimir Lifschitz

Affiliations and Expertise

University of Texas at Austin, USA

Bruce Porter

Affiliations and Expertise

University of Texas at Austin, USA

Handbook of Knowledge Representation, 1st Edition

Part I: General Methods in Knowledge Representation and Reasoning

1. Knowledge Representation and Classical Logic
2. Satisfiability Solvers
3. Description Logics
4. Constraint Programming
5. Conceptual Graphs
6. Nonmonotonic Reasoning
7. Answer Sets
8. Belief Revision
9. Qualitative Modeling
10. Model-Based Problem Solving
11. Bayesian Networks

Part II: Classes of Knowledge and Specialized Representations

12. Temporal Representation and Reasoning
13. Spatial Reasoning
14. Physical Reasoning
15. Reasoning about Knowledge and Belief
16. Situation Calculus
17. Event Calculus
18. Temporal Action Logics
19. Nonmonotonic Causal Logic Part III: Knowledge Representation in Applications
20. Knowledge Representation and Question Answering
21. The Semantic Web: Webizing Knowledge Representation
22. Automated Planning
23. Cognitive Robotics
24. Multi-Agent Systems
25. Knowledge Engineering
 
 

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