Ch. 1. Robotic Mapping: A Survey / Sebastian Thrun
Ch. 2. D-Learning: What Learning in Dogs Tells Us About Building Characters That Learn What They Ought to Learn / Bruce M. Blumberg
Ch. 3. Identifying Semantic Relations in Text / Daniel Gildea and Daniel Jurafsky
Ch. 4. Planning with Generic Types / Derek Long and Maria Fox
Ch. 5. Bayesian Inference of Visual Motion Boundaries / David J. Fleet, Michael J. Black and Oscar Nestares
Ch. 6. Qualitative Spatiotemporal Representation and Reasoning: A Computational Perspective / Frank Wolter and Michael Zakharyaschev
Ch. 7. Extending Virtual Humans to Support Team Training in Virtual Reality / Jeff Rickel and W. Lewis Johnson
Ch. 8. Understanding Belief Propagation and Its Generalizations / Jonathan S. Yedidia, William T. Freeman and Yair Weiss
Ch. 9. Learning Theory and Language Modeling / David McAllester and Robert E. Schapire
Ch. 10. First-Order Davis-Putnam-Logemann-Loveland Procedure / Peter Baumgartner
Ch. 11. New Tractable Constraint Classes from Old / David Cohen, Peter Jeavons and Richard Gault
Ch. 12. User-Oriented Evaluation Methods for Information Retrieval: A Case Study Based on Conceptual Models for Query Expansion / Jaana Kekalainen and Kalervo Jarvelin
Ch. 13. Data Mining for Manufacturing Control: An Application in Optimizing IC Tests / Tony Fountain, Thomas Dietterich and Bill Sudyka.
