Planning in Intelligent Systems
Aspects, Motivations, and Methods
Published on 2. February 2006
500 pages
978-0-471-78125-7 (ISBN)
Description
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, and systems theory. In particular, the book examinescommonalities and differences among the goals, methods, andtechniques of these various approaches to planning. The result is abetter understanding of the process of planning through thecross-fertilization of ideas. Each chapter contains a shortintroduction that sets forth the interrelationships of that chapterto the main ideas featured in the other chapters.
* Part Two, "Practical," features six chapters that center on acase study of The Netherlands Railways. Readers learn to applytheory to a real-world situation and discoverhow expanding theirrepertoire of planning methods can help solve seemingly intractableproblems.
All chapters have been contributed by leading experts in thevarious schools of planning and carefully edited to ensure aconsistent high standard throughout.
This book is designed to not only expand the range of planningtools used, but also to enable readers to use them moreeffectively. It challenges readers to look at new approaches andlearn from new schools of thought. Planning in Intelligent Systemsdelivers effective planning approaches for researchers, professors,students, and practitioners in artificial intelligence, computerscience, cognitive psychology, and mathematics, as well as industryplanners and managers.
Reviews / Votes
"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)More details
Other editions
Additional editions
Wout Van Wezel | R. J. Jorna | Alexander M. Meystel
Planning in Intelligent Systems
Aspects, Motivations, and Methods
Book
03/2006
Wiley
€186.50
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Wout Van Wezel | R. J. Jorna | Alexander M. Meystel
Planning in Intelligent Systems - Aspects, Motivations and Methods
Software
03/2006
Wiley
€234.62
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Persons
WOUT van WEZEL, PhD, is Assistant Professor of ProductionSystem Design, Faculty of Management and Organization, Universityof Groningen, The Netherlands. His research interests includeplanning and scheduling, human-centered decision support systems,and production control.
RENÉ J. JORNA, PhD, is Professor of KnowledgeManagement and Cognition, Faculty of Management and Organization,University of Groningen, The Netherlands. His research activitiesfocus on knowledge representation, planning and scheduling,semiotics, knowledge management, and sustainable innovation.
ALEXANDER M. MEYSTEL, PhD, is Professor in the College ofEngineering, Drexel University. His research centers onintelligence control, autonomous robots, learning systems, computerarchitectures for cognitive machines, and manufacturing, as well asthe theory of knowledge representation.
Content
Contributors.
Preface.
1. Introduction (Wout van Wezel and Ren&eeacute; Jorna).
PART I: THEORETICAL.
Introduction to Chapter 2.
2. How We Do What We Want: A Neurocognitive Perspective on HumanAction Planning (Bernhard Hommel).
Introduction to Chapter 3.
3. Planning in Dynamic Situations: Some Findings in ComplexSupervisory Control (Jean-Michel Hoc).
Introduction to Chapter 4.
4. Cognition, Planning, and Domains: An Empirical Study into thePlanning Processes of Planners (René Jorna).
Introduction to Chapter 5.
5. Coordination Mechanisms in Multi-Actor Systems (Henk W.M.Gazendam).
Introduction to Chapter 6.
6. The Organizational Interconnectivity of Planning andScheduling (Kenneth N. McKay and Vincent C.S. Wiers).
Introduction to Chapter 7.
7. Interactive Scheduling Systems (Wout van Wezel).
Introduction to Chapter 8.
8. Mathematical Models for Planning Support (Leo G. Kroon andRob A. Zuidwijk).
Introduction to Chapter 9.
9. Modeling and Solving Multisite Scheduling Problems(Jürgen Sauer).
Introduction to Chapter 10.
10. Multi-Agent Planning in the Presence of Multiple Goals(Michael H. Bowling, Rune M. Jensen, and Manuela M. Veloso).
Introduction to Chapter 11.
11. Multiresolutional Representation and Behavior Generation:How Does It Affect the Performance of and Planning for IntelligentSystems (Alexander Meystel).
PART II: PRACTICAL.
12. Perspectives on Shunting Planning: Research in PlanningSupport at the Netherlands Railways (Wout van Wezel and Derk JanKiewiet).
13. Task Analysis for Problems of Shunting Planning within theNetherlands Railways (Derk Jan Kiewiet, René Jorna, andWout van Wezel).
14. Intelligent Shunting: Dealing with Constraints(Satisfaction) (Erwin Abbink).
15. Applying Operations Research Techniques to Planning of TrainShunting (Ramon M. Lentink, Pieter-Jan Fioole, Leo G. Kroon, andCor van't Woudt).
16. Train Shunting: A Practical Heuristic Inspired by DynamicProgramming (R. Haijema, C.W. Duin, and N.M. van Dijk).
17. Planner-Oriented Design of Algorithms for Train ShuntingScheduling (J. Riezebos and Wout van Wezel).
18. Conclusions for Intelligent Planning: Diversity and theQuest for Unity (René Jorna, Wout van Wezel, andAlexander Meystel).
References.
Index.
