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Exploring artificial intelligence in the new millennium

Exploring artificial intelligence in the new millennium

Gerhard Lakemayer, Bernhard Nebel

414 pages, parution le 04/11/2002

Résumé

Exploring Artificial Intelligence in the New Millennium offers a unique presentation of the entire spectrum of ongoing research in Artificial Intelligence. Each self-contained chapter is based on a presentation given at IJCAI 2001.

The speakers, all leading researchers in their fields, were chosen by the IJCAI Distinguished Paper Track Committee because of their outstanding work in robotics, vision, knowledge representation, machine learning, planning and other areas of AI research. The authors have broadened the scope of their original presentations and have updated and revised their talks especially for this publication. Individually, the lectures provide a significant exploration of a key area in AI research. Taken together they offer a rich survey of the field as a whole: its core issues, progress, and future directions.

Exploring Artificial Intelligence in the New Millennium provides researchers and graduate students in AI with essential reading that fosters discussion across the sub-areas of AI.

Contents

  1. Robotic Mapping: A Survey
  2. D-Learning: What Learning in Dogs Tells Us About Building Characters That Learn What They Ought to Learn
  3. Identifying Semantic Relations in Text
  4. Planning with Generic Types
  5. Bayesian Inference of Visual Motion Boundaries
  6. Qualitative Spatiotemporal Representation and Reasoning: A Computational Perspective
  7. Extending Virtual Humans to Support Team Training in Virtual Reality
  8. Understanding Belief Propagation and Its Generalizations
  9. Learning Theory and Language Modeling
  10. First-Order Davis-Putnam-Logemann-Loveland Procedure
  11. New Tractable Constraint Classes from Old
  12. User-Oriented Evaluation Methods for Information Retrieval: A Case Study Based on Conceptual Models for Query Expansion
  13. Data Mining for Manufacturing Control: An Application in Optimizing IC Tests

L'auteur - Gerhard Lakemayer

Gerhard Lakemeyer leads the Knowledge-Based Systems group at Aachen University of Technology where he is an associate professor of computer science. His research focuses on knowledge representation, cognitive robotics in artificial intelligence, and applying logics of action to the control of mobile robots and to requirements engineering. Dr. Lakemeyer is a member of the editorial board of the Journal of Artificial Intelligence.

L'auteur - Bernhard Nebel

Bernhard Nebel chairs the Artificial Intelligence Research group at Albert-Ludwigs-Universität Freiburg. He is also a member of the IJCAI Inc. board of trustees, the editorial boards of Artificial Intelligence and AI Communication, and the advisory board of the Journal of Artificial Intelligence Research. His research focuses on knowledge representation and reasoning.

Caractéristiques techniques

  PAPIER
Éditeur(s) Morgan Kaufmann
Auteur(s) Gerhard Lakemayer, Bernhard Nebel
Parution 04/11/2002
Nb. de pages 414
Format 18,5 x 23,5
Couverture Relié
Poids 804g
Intérieur Noir et Blanc
EAN13 9781558608115
ISBN13 978-1-55860-811-5

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