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.

"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)

• 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

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.

"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)

• 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

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.

"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)

• 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