Building Expert Systems in Prolog
by Dennis Merritt
Publisher: Amzi! inc. 2000
Number of pages: 358
This book is designed to teach you how to build expert systems from the inside out. The author presents the various features used in expert systems, shows how to implement them in Prolog, and how to use them to solve problems.
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by Patrick Blackburn, Kristina Striegnitz - Union College
Contents: Finite State Automata; Finite State Parsers and Transducers; Finite State Methods in Natural Language Processing; Recursive Transition Networks (RTNs); RTN transducers and ATNs; Definite Clause Grammars; Bottom Up, Top Down Parsing; etc.
by Neil C. Rowe - Prentice-Hall
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence.
by James Hein - Portland State University
Programming experiments designed to help learning of discrete mathematics, logic, and computability. Most of the experiments are short and to the point, just like traditional homework problems, so that they reflect the daily classroom work.
by Bart Demoen, Phuong-Lan Nguyen, Tom Schrijvers, Remko Troncon
This book shows solutions to problems that were in the first 10 Prolog Programming Contests. The solutions could have been constructed during the contest under time pressure, and so you will find many solutions using the generate and test strategy.