Prolog Programming: A First Course
by Paul Brna
Number of pages: 197
The course for which these notes are designed is intended for undergraduate students who have some programming experience and may even have written a few programs in Prolog. They are not assumed to have had any formal course in either propositional or predicate logic. The original function was to provide students studying Artificial Intelligence (AI) with an intensive introduction to Prolog so, inevitably, there is a slight bias towards AI.
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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 Michael Spivey - Prentice Hall
Using theory as a foundation for practical programming, this text presents the theory of logic programming with clear proofs and implementation techniques. It covers logical theory, programming, and the structure of a simple Prolog implementation.
by Attila Csenki - BookBoon
In this volume the author discusses some areas where Prolog can be fruitfully employed. The book comprises four chapters: Enigma 1225: Rows are Columns; Blind Search; Informed Search; Text Processing. There are 54 exercises in this book.