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Exploring Artificial Intelligence in the New Millennium

  • 1st Edition - July 26, 2002
  • Latest edition
  • Editors: Gerhard Lakemeyer, Bernhard Nebel
  • Language: English

Exploring Artificial Intelligence in the New Millennium offers a unique presentation of the entire spectrum of ongoing research in Artificial Intelligence. Each self-cont… Read more

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Description

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.

Readership

AI practitioners and researchers, and students in introductory courses in AI and its subfields.

Table of contents

PrefaceChapter 1 Robotic Mapping: A Survey      Sebastian ThrunChapter 2 D-Learning: What Learning in Dogs Tells Us About Building Characters That Learn What They Ought to Learn      Bruce BlumbergChapter 3 Identifying Semantic Relations in Text      Daniel Gildea and Daniel JurafskyChapter 4 Planning with Generic Types       Derek Long and Maria FoxChapter 5 Bayesian Inference of Visual Motion Boundaries      David J. Fleet, Michael J. Black, and Oscar Nestares, CSICChapter 6 Qualitative Spatio-Temporal Representation and Reasoning: A Computational Perspective      Frank Wolter and Michael ZakharyaschevChapter 7 Extending Virtual Humans to Support Team Training in Virtual Reality      Jeff Rickel and W. Lewis JohnsonChapter 8 Understanding Belief Propagation and Its Generalizations      Jonathan Yedidia, William T. Freeman, and Yair WeissChapter 9 Learning Theory and Language Modeling      David McAllester and Robert E. SchapireChapter 10 A First-Order-Logic Davis-Putnam-Logemann-Loveland Procedure      Peter BaumgartnerChapter 11 New Tractable Constraint Classes from Old      David Cohen, Peter Jeavons, and Richard GaultChapter 12 User-Oriented Evaluation Methods for Information Retrieval: A Case Study Based on Conceptual Models for Query Expansion      Jaana Kekäläinen and Kalervo JärvelinChapter 13 Data Mining for Manufacturing Control: An Application in Optimizing IC Test      Tony Fountain, Thomas Dietterich

Product details

  • Edition: 1
  • Latest edition
  • Published: July 26, 2002
  • Language: English

About the editors

GL

Gerhard Lakemeyer

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.

Affiliations and expertise
Aachen University of Technology

BN

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.

Affiliations and expertise
Albert-Ludwigs-Universität Freiburg