Del 11 - Wiley Series on Intelligent Systems

Planning in Intelligent Systems

Aspects, Motivations, and Methods

Inbunden, Engelska, 2006

Av Wout van Wezel, Wout van Wezel, R. J. Jorna, Alexander M. Meystel, Wout Van Wezel, Wout Van Wezel, R J Jorna, Alexander M Meystel

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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.

Produktinformation

Utgivningsdatum2006-03-31
Mått161 x 243 x 32 mm
Vikt930 g
FormatInbunden
SpråkEngelska
SerieWiley Series on Intelligent Systems
Antal sidor592
FörlagJohn Wiley & Sons Inc
ISBN9780471734277

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Artificiell intelligens inom Data och it
Systemvetenskap och AI inom Data och it

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.

Contributors ixPreface xi1 Introduction 1Wout van Wezel and René JornaPart I: Theoretical 23Introduction to Chapter 2 252 How We Do What We Want: A Neurocognitive Perspective on Human Action Planning 27Bernhard HommelIntroduction to Chapter 3 573 Planning in Dynamic Situations: Some Findings in Complex Supervisory Control 61Jean-Michel HocIntroduction to Chapter 4 994 Cognition, Planning, and Domains: An Empirical Study into the Planning Processes of Planners 101René JornaIntroduction to Chapter 5 1375 Coordination Mechanisms in Multi-Actor Systems 139Henk W.M. GazendamIntroduction to Chapter 6 1756 The Organizational Interconnectivity of Planning and Scheduling 177Kenneth N. McKay and Vincent C.S. WiersIntroduction to Chapter 7 2037 Interactive Scheduling Systems 205Wout van WezelIntroduction to Chapter 8 2438 Mathematical Models for Planning Support 245Leo G. Kroon and Rob A. ZuidwijkIntroduction to Chapter 9 2799 Modeling and Solving Multisite Scheduling Problems 281Jürgen SauerIntroduction to Chapter 10 30110 Multi-Agent Planning in the Presence of Multiple Goals 303Michael H. Bowling, Rune M. Jensen, and Manuela M. VelosoIntroduction to Chapter 11 32711 Multiresolutional Representation and Behavior Generation: How Does It Affect the Performance of and Planning for Intelligent Systems 329Alexander MeystelPart II Practical 36512 Perspectives on Shunting Planning: Research in Planning Support at the Netherlands Railways 371Wout van Wezel and Derk Jan Kiewiet13 Task Analysis for Problems of Shunting Planning within the Netherlands Railways 377Derk Jan Kiewiet, René Jorna, and Wout van Wezel14 Intelligent Shunting: Dealing with Constraints (Satisfaction) 391Erwin Abbink15 Applying Operations Research Techniques to Planning of Train Shunting 415Ramon M. Lentink, Pieter-Jan Fioole, Leo G. Kroon, and Cor van’t Woudt16 Train Shunting: A Practical Heuristic Inspired by Dynamic Programming 437R. Haijema, C.W. Duin, and N.M. van Dijk17 Planner-Oriented Design of Algorithms for Train Shunting Scheduling 477J. Riezebos and Wout van Wezel18 Conclusions for Intelligent Planning: Diversity and the Quest for Unity 497René Jorna, Wout van Wezel, and Alexander MeystelReferences 531Index 565