Hiroaki Kitano

Vipin Kumar

Laveen N. Kanal

Christian B. Suttner

Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence. Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.

Parallel Processing for Artificial Intelligence

Richard K. Belew

Charles E. Taylor

Christoph Adami

The term "artificial life" describes research into synthetic systems that possess some of the essential properties of life. This interdisciplinary text includes looking at the field in an attempt to understand high-level behaviour from low-level rules.

Proceedings of the Sixth International Conference on Artificial Life

Artificial Life VI

Minoru Asada

RoboCup is an international initiative devoted to advancing the state of the art in artificial intelligence and robotics. The aims of the project and potential research directions are numerous. The ultimate, long-range goal is to build a team of robot soccer players that can beat a human World Cup champion team. This book is the second official archival publication devoted to RoboCup. It documents the achievements presented at the Second International Workshop on RoboCup held in Paris, France, in July 1998. The book opens with an overview section, provides research papers on selected technical topics, and presents technical and strategic descriptions of the work of participating teams. Of interest far beyond the rapidly growing RoboCup community, this book is also indispensable reading for R&D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.

RoboCup-98: Robot Soccer World Cup II

Manuela Veloso

Enrico Pagello

This book is the third official archival publication devoted to RoboCup and documents the achievements presented at the Third Robot World Cup Soccer Games and Conferences, Robo-Cup-99, held in Stockholm, Sweden in July/August 1999. The book presents the following parts - Introductory overview and survey - Research papers of the champion teams and scientific award winners - Technical papers presented at the RoboCup-99 Workshop - Team description of a large number of participating teams. This book is mandatory reading for the rapidly growing RoboCup community as well as a valuable source or reference and inspiration for R&D professionals interested in multi-agent systems, distributed artificial intelligence, and intelligent robotics.

RoboCup-99: Robot Soccer World Cup III

RoboCup is an international initiative devoted to advancing the state of the art in artificial intelligence and robotics. The ultimate, long range goal is to build a team of robot soccer players that can beat a human World Cup champion team.This is the first book devoted to RoboCup. It opens with an overview section presenting the history of this young initiative, motivation, the overall perspectives and challenges, and a survey of the state of the art in the area. The technical paper section presents the state of the art of the interdisciplinary research and development efforts in details, essentially building on the progress achieved during the RoboCup-97 Workshop. The team description contributions discuss technical and strategic aspects of the work of the participating teams.

Hiroaki Kitano

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