Planning in Intelligent Systems

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ability
achievements
assumes
begins
better
Category=UYQ
comparative examination
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eq_non-fiction
first
foundation
greater
intelligent
paradigms
part
plan
planning
predominant
principle
principles
process
provides
readers
systems
thought
tools
two

Product details

  • ISBN 9780471734277
  • Weight: 930g
  • Dimensions: 161 x 243mm
  • Publication Date: 31 Mar 2006
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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The first comparative examination of planning paradigms

This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine. It further assumes that better planning results in greater achievements. With these principles as a foundation, Planning in Intelligent Systems provides readers with the tools needed to better understand the process of planning and to become better planners themselves.

The text is divided into two parts:
* Part One, "Theoretical," discusses the predominant schools of thought in planning: psychology and cognitive science, organizational science, computer science, mathematics, artificial intelligence, and systems theory. In particular, the book examines commonalities and differences among the goals, methods, and techniques of these various approaches to planning. The result is a better understanding of the process of planning through the cross-fertilization of ideas. Each chapter contains a short introduction that sets forth the interrelationships of that chapter to the main ideas featured in the other chapters.
* Part Two, "Practical," features six chapters that center on a case study of The Netherlands Railways. Readers learn to apply theory to a real-world situation and discoverhow expanding their repertoire of planning methods can help solve seemingly intractable problems.

All chapters have been contributed by leading experts in the various schools of planning and carefully edited to ensure a consistent high standard throughout.

This book is designed to not only expand the range of planning tools used, but also to enable readers to use them more effectively. It challenges readers to look at new approaches and learn from new schools of thought. Planning in Intelligent Systems delivers effective planning approaches for researchers, professors, students, and practitioners in artificial intelligence, computer science, cognitive psychology, and mathematics, as well as industry planners and managers.

WOUT VAN WEZEL, PHD, is Assistant Professor of Production System Design, Faculty of Management and Organization, University of Groningen, The Netherlands. His research interests include planning and scheduling, human-centered decision support systems, and production control.

RENÉ J. JORNA, PHD, is Professor of Knowledge Management and Cognition, Faculty of Management and Organization, University of Groningen, The Netherlands. His research activities focus on knowledge representation, planning and scheduling, semiotics, knowledge management, and sustainable innovation.

ALEXANDER M. MEYSTEL, PHD, is Professor in the College of Engineering, Drexel University. His research centers on intelligence control, autonomous robots, learning systems, computer architectures for cognitive machines, and manufacturing, as well as the theory of knowledge representation.