Freshly Printed - allow 7 days lead
Couldn't load pickup availability
Planning in Intelligent Systems
Aspects, Motivations, and Methods
Wout van Wezel (Edited by), W Van Wezel (Author), R. J. Jorna (Edited by), Alexander M. Meystel (Edited by)
9780471734277, Wiley
Hardback, published 31 March 2006
592 pages, Drawings: 0 B&W, 0 Color
24.3 x 16.1 x 3.2 cm, 0.93 kg
"It challenges readers to look at new approaches and learn from new schools of thought. The book delivers effective planning approaches … A consistent high standard throughout." (Zentralblatt Math 1131, June 2008)
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.
Contributors ix Preface xi 1 Introduction 1 Wout van Wezel and René Jorna Part I: Theoretical 23 Introduction to Chapter 2 25 2 How We Do What We Want: A Neurocognitive Perspective on Human Action Planning 27 Bernhard Hommel Introduction to Chapter 3 57 3 Planning in Dynamic Situations: Some Findings in Complex Supervisory Control 61 Jean-Michel Hoc Introduction to Chapter 4 99 4 Cognition, Planning, and Domains: An Empirical Study into the Planning Processes of Planners 101 René Jorna Introduction to Chapter 5 137 5 Coordination Mechanisms in Multi-Actor Systems 139 Henk W.M. Gazendam Introduction to Chapter 6 175 6 The Organizational Interconnectivity of Planning and Scheduling 177 Kenneth N. McKay and Vincent C.S. Wiers Introduction to Chapter 7 203 7 Interactive Scheduling Systems 205 Wout van Wezel Introduction to Chapter 8 243 8 Mathematical Models for Planning Support 245 Leo G. Kroon and Rob A. Zuidwijk Introduction to Chapter 9 279 9 Modeling and Solving Multisite Scheduling Problems 281 Jürgen Sauer Introduction to Chapter 10 301 10 Multi-Agent Planning in the Presence of Multiple Goals 303 Michael H. Bowling, Rune M. Jensen, and Manuela M. Veloso Introduction to Chapter 11 327 11 Multiresolutional Representation and Behavior Generation: How Does It Affect the Performance of and Planning for Intelligent Systems 329 Alexander Meystel Part II Practical 365 12 Perspectives on Shunting Planning: Research in Planning Support at the Netherlands Railways 371 Wout van Wezel and Derk Jan Kiewiet 13 Task Analysis for Problems of Shunting Planning within the Netherlands Railways 377 Derk Jan Kiewiet, René Jorna, and Wout van Wezel 14 Intelligent Shunting: Dealing with Constraints (Satisfaction) 391 Erwin Abbink 15 Applying Operations Research Techniques to Planning of Train Shunting 415 Ramon M. Lentink, Pieter-Jan Fioole, Leo G. Kroon, and Cor van’t Woudt 16 Train Shunting: A Practical Heuristic Inspired by Dynamic Programming 437 R. Haijema, C.W. Duin, and N.M. van Dijk 17 Planner-Oriented Design of Algorithms for Train Shunting Scheduling 477 J. Riezebos and Wout van Wezel 18 Conclusions for Intelligent Planning: Diversity and the Quest for Unity 497 René Jorna, Wout van Wezel, and Alexander Meystel References 531 Index 565
Subject Areas: Electronics & communications engineering [TJ]
