Techniques Of Prolog Programming With Implementation Of Logical Negation And Quantified Goals

The purpose of this text is twofold. Firstly, it presents a firm background for prolog programming and the fundamental techniques of problem-solving using prolog. The book's easy to follow tutorial style features many fully-solved exercises followed by similar problems for student practice. Secondly, it provides an efficient implementation of logical negation and quantified goals needed in expert systems. A disk containing the texts Prolog Programs is included with the book.

Approaches the subject by applying the format used in successful language courses. Offers a comprehensive exhibition of Prolog programming techniques in four stages--declarative, procedural, advanced and meta-programming. Presents simple and efficient implementation of logical negation and quantified goals which are necessary in expert systems. The dynamics of these new features are shown in the construction of a multilingual expert system shell that supports negative and quantified queries as well as subtypes. The easy-to-follow tutorial style and numerous fully-solved exercises facilitate understanding. Comes with 3.5 inch disk containing all programs in the book.

Intelligent control is a rapidly developing, complex and challenging field with great practical importance and potential. Because of the rapidly developing and interdisciplinary nature of the subject, there are only a few edited volumes consisting of research papers on intelligent control systems but little is known and published about the fundamentals and the general know-how in designing, implementing and operating intelligent control systems. Intelligent control system emerged from artificial intelligence and computer controlled systems as an interdisciplinary field. Therefore the book summarizes the fundamentals of knowledge representation, reasoning, expert systems and real-time control systems and then discusses the design, implementation verification and operation of real-time expert systems using G2 as an example. Special tools and techniques applied in intelligent control are also described including qualitative modelling, Petri nets and fuzzy controllers. The material is illlustrated with simple examples taken from the field of intelligent process control.

This volume contains the proceedings of the 7th International Symposium on Functional and Logic Programming (FLOPS 2004), held in Nara, Japan, April 7-9, 2004 at the New Public Hall, Nara. FLOPS is a forum for research on all issues concerning functional programming and logic programming. In particular it aims to stimulate the cross-fertilization as well as the integration of the two paradigms. The previous FLOPS meetings took place in Fuji-Susono (1995), Shonan (1996), Kyoto (1998), Tsukuba (1999), Tokyo(2001)and Aizu (2002). The proceedings of FLOPS 1999,FLOPS 2001 and FLOPS 2002 were published by Springer-Verlag in the Lecture Notes in Computer Science series, as volumes 1722, 2024 and 2441, respectively. In response to the call for papers, 55 papers were submitted by authors from 1 Australia (1), Austria (1), Canada (1), China (4), Denmark (2), Estonia (), 2 1 1 France (3), Germany (4), Italy (1), Japan (15), the Netherlands (1), Oman 2 4 1 1 (1), Portugal (), Singapore (2), Spain (8), UK (3), and USA (6). Each paper 2 4 was reviewed by at least three program committee members with the help of expert external reviewers. The program committee meeting was conducted electronically for a period of 2 weeks in December 2003. After careful and thorough discussion, the program committee selected 18 papers (33%) for presentation at the conference. In addition to the 18 contributed papers, the symposium included talks by three invited speakers: Masami Hagiya (University of Tokyo), Carsten Schur · mann (Yale University), and Peter Selinger (University of Ottawa).

This book constitutes the refereed proceedings of the 9th European Conference on Logics in Artificial Intelligence, JELIA 2004, held in Lisbon, Portugal, in September 2004. The 52 revised full papers and 15 revised systems presentation papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from a total of 169 submissions. The papers are organized in topical sections on multi-agent systems; logic programming and nonmonotonic reasoning; reasoning under uncertainty; logic programming; actions and causation; complexity; description logics; belief revision; modal, spatial, and temporal logics; theorem proving; and applications.

This text is a treatment of the foundations of Artificial Intelligence, combining theoretical material required for intelligent problem solving with the data structures and algorithms needed for implementation.