Exploring Artificial Intelligence in the New Millennium
Published on 26. July 2002
Book
Hardback
404 pages
978-1-55860-811-5 (ISBN)
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.
More details
Series
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 229 mm
Width: 178 mm
Weight
799 gr
ISBN-13
978-1-55860-811-5 (9781558608115)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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. Bernhard Nebel chairs the Artificial Intelligence Research group at Albert-Ludwigs-Universitat 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.
Content
Preface Chapter 1 Robotic Mapping: A Survey Sebastian Thrun Chapter 2 D-Learning: What Learning in Dogs Tells Us About Building Characters That Learn What They Ought to Learn Bruce Blumberg Chapter 3 Identifying Semantic Relations in Text Daniel Gildea and Daniel Jurafsky Chapter 4 Planning with Generic Types Derek Long and Maria Fox Chapter 5 Bayesian Inference of Visual Motion Boundaries David J. Fleet, Michael J. Black, and Oscar Nestares, CSIC Chapter 6 Qualitative Spatio-Temporal Representation and Reasoning: A Computational Perspective Frank Wolter and Michael Zakharyaschev Chapter 7 Extending Virtual Humans to Support Team Training in Virtual Reality Jeff Rickel and W. Lewis Johnson Chapter 8 Understanding Belief Propagation and Its Generalizations Jonathan Yedidia, William T. Freeman, and Yair Weiss Chapter 9 Learning Theory and Language Modeling David McAllester and Robert E. Schapire Chapter 10 A First-Order-Logic Davis-Putnam-Logemann-Loveland Procedure Peter Baumgartner Chapter 11 New Tractable Constraint Classes from Old David Cohen, Peter Jeavons, and Richard Gault Chapter 12 User-Oriented Evaluation Methods for Information Retrieval: A Case Study Based on Conceptual Models for Query Expansion Jaana Kekalainen and Kalervo Jarvelin Chapter 13 Data Mining for Manufacturing Control: An Application in Optimizing IC Test Tony Fountain, Thomas Dietterich