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Provides a self-contained description of this important aspect of information processing and decision support technology. Presents basic definitions, principles, applications, and a detailed bibliography. Covers a range of real-world examples including control, data mining, and pattern recognition.
The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipateand plan is an essential feature of intelligent systems, whetherhuman or machine. It further assumes that better planning resultsin greater achievements. With these principles as a foundation,Planning in Intelligent Systems provides readers with the toolsneeded to better understand the process of planning and to becomebetter planners themselves. The text is divided into two parts: * Part One, "Theoretical," discusses the predominant schools ofthought in planning: psychology and cognitive science,organizational science, computer science, mathematics, artificialintelligence...
Is it really possible to live in a world without deprivation or economic strife, but instead with peace, prosperity, and better opportunities? Path to a Better World proposes a practical plan that provides the means to make this dream a realityand all before the end of the twenty-first century. James Albus, an engineer, neuroscientist, and international expert in robotics and intelligent systems, begins by sharing his vision of an ideal world and contrasts that with the current reality. After discussing the strengths and weaknesses of the cur-rent free market capitalist system, Albus suggests an improved version of capitalization that has the potential to broaden the ownership of capital and...
The 18 revised full papers presented in this book together with an introductory survey were carefully reviewed and constitute the documentation of the Second International Workshop on Self-adaptive Software, IWSAS 2001, held in Balatonfüred, Hungary in May 2001. Self-adaptive software evaluates its own behavior and changes it when the evaluation indicates that the software does not accomplish what it is intended to do or when better functionality or better performance is possible. The self-adaptive approach in software engineering builds on well known dynamic features familiar to Lisp or Java programmes and aims at improving the robustness of software systems by gradually adding new features of self-adaption or autonomy.
This volume contains the ?nal proceedings of the MetaInformatics Symposium 2003 (MIS 2003). The event was held September 17–20 on the campus of the Graz University of Technology in Graz, Austria. As with previous events in the MIS series, MIS 2003 brought together - searchers and practitioners from a wide variety of ?elds to discuss a broad range of topics and ideas related to the ?eld of computer science. The contributions that were accepted to and presented at the symposium are of a wide variety. Theyrangefromtheoreticalconsiderationsofimportantmetainformatics-related questions and issues to practical descriptions of approaches and systems that - fer assistance in their resolution. I hope you will ?nd the papers contained in this volume as interesting as the other members of the program committee and Ihave. These proceedings would not have been possible without the help and ass- tance of many people. In particular I would like to acknowledge the assistance of Springer-Verlag in Heidelberg, Germany, especially Anna Kramer, the computer science editor, and Alfred Hofmann, the executive editor for the LNCS series.
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing system...
This collection presents a diverse overview of advances in the development of artificial minds as the 21st century begins. Authors from the 2000 UK Society for Artificial Intelligence conference and others from around the world contributed to this multi-disciplinary approach to the long-term problem of designing a human-like mind for scientific, social or engineering purposes.
The Fourth International Conference on Advanced Robotics was held in Columbus, Ohio, U. S. A. on June 13th to 15th, 1989. The first two conferences in this series were held in Tokyo. The third was held in Versailles, France in October 1987. The International Conference on Advanced Robotics is affiliated with the International Federation of Robotics. This conference was sponsored by The Ohio State University. The American Society of Mechanical Engineers was a cooperating co-sponsor. The objective of the International Conference on Advanced Robotics is to provide an international exchange of information on the topic of advanced robotics. This was adopted as one of the themes for international ...