Logic programming has increasing significance in computer science beyond the current fashion for expert systems. This book takes a software engineering rather than an expert systems/AI approach and covers logical theory, practical programming and PROLOG im

Written for those who wish to learn Prolog as a powerful software development tool, but do not necessarily have any background in logic or AI. Includes a full glossary of the technical terms and self-assessment exercises.

Addressed to readers at different levels of programming expertise, The Practice ofProlog offers a departure from current books that focus on small programming examples requiringadditional instruction in order to extend them to full programming projects. It shows how to designand organize moderate to large Prolog programs, providing a collection of eight programmingprojects, each with a particular application, and illustrating how a Prolog program was written tosolve the application. These range from a simple learning program to designing a database formolecular biology to natural language generation from plans and stream data analysis.Leon Sterlingis Associate Professor in the Department of Computer Engineering and Science at Case Western ReserveUniversity. He is the coauthor, along with Ehud Shapiro, of The Art of Prolog.Contents: A SimpleLearning Program, Richard O'Keefe. Designing a Prolog Database for Molecular Biology, Ewing Lusk,Robert Olson, Ross Overbeek, Steve Tuecke. Parallelizing a Pascal Compiler, Eran Gabber. PREDITOR: AProlog-Based VLSI Editor, Peter B. Reintjes. Assisting Register Transfer Level Hardware Design, PaulDrongowski. Design and Implementation of aPartial Evaluation System, Arun Lakhotia, Leon Sterling.Natural Language Generation from Plans, Chris Mellish. Stream Data Analysis in Prolog, Stott Parker.

The computer programming language Prolog is quickly gaining popularity throughout the world. Since Its beginnings around 1970. Prolog has been chosen by many programmers for applications of symbolic computation. including: D relational databases D mathematical logic D abstract problem solving D understanding natural language D architectural design D symbolic equation solving D biochemical structure analysis D many areas of artificial Intelligence Until now. there has been no textbook with the aim of teaching Prolog as a practical programming language. It Is perhaps a tribute to Prolog that so many people have been motivated to learn It by referring to the necessarily concise reference manuals. a few published papers. and by the orally transmitted 'folklore' of the modern computing community. However. as Prolog is beginning to be Introduced to large numbers of undergraduate and postgraduate students. many of our colleagues have expressed a great need for a tutorial guide to learning Prolog. We hope this little book will go some way towards meeting this need. Many newcomers to Prolog find that the task of writing a Prolog program Is not like specifying an algorithm in the same way as In a conventional programming language. Instead. the Prolog programmer asks more what formal relationships and objects occur In his problem.

Prolog Versus You shows how you can take up the gauntlet of the logic programming language Prolog (PROgramming in LOGic) and use it as an obedient programming and problem solving tool. Logic programming emphasizes that programming is a human activity and consequently that programs should be easy for humans to write, understand and manipulate. In a program knowledge about the problem is stated in a logical language without consideration of the underlying machine language. This book has emerged from undergraduate courses in logic programming. The relation to logic is described and the necessary logic is provided continuously. No previous programming experience is assumed and it can be used by beginners as well as by advanced programmers. The book emphasizes the declarative reading of Prolog programs which greatly facilitates the thinking about the problems and yields programs easy to understand. The book covers logic programs, their execution and data structures; databases and expert systems; program synthesis, program correctness and program transformation as well as an efficient computation of Prolog programs. Each chapter ends with some exercises (with solutions). The book also contains a thorough index, appendices and a chapter on Prolog implementations: DECsystem-10 Prolog, Tricia, Quintus Prolog, MProlog, Turbo Prolog, micro-Prolog and LM-Prolog.

An introduction to Prolog programming for artificial intelligence covering both basic and advanced AI material. A unique advantage to this work is the combination of AI, Prolog and Logic. Each technique is accompanied by a program implementing it. Seeks to simplify the basic concepts of logic programming. Contains exercises and authentic examples to help facilitate the understanding of difficult concepts.