Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp, the well-documented language standard, and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common.
|Publisher:||Taylor & Francis|
|Sold by:||Barnes & Noble|
|File size:||15 MB|
|Note:||This product may take a few minutes to download.|
Table of ContentsContents Part I:Lisp Programming.Lisp Review. Macros and Read-Macros. Data Structures and Control Structures in Lisp. Input/Output in Lisp. Compiling Your Program and Your Program's Program. Data-Driven Programming and Other Programming Techniques. Higher-Order Functions, Continuations, and Coroutines. Part IIAI Programming Techniques.Simple Discrimination Nets. Agenda Control Structures. Deductive Information Retrieval. Discrimination Nets With Variables. Production Systems. Slot and Filler Data Bases. Chronological Backtracking. Data Dependencies and Reason Maintenance Systems. Appendix 1: A Glossary of Common Lisp Functions. Answers to Selected Exercises.
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