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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardback. Etat : New. 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. N° de réf. du vendeur LU-9780471734277
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Hardcover. Etat : new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780471734277
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Etat : New. 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. Editor(s): Wezel, Wout van; Jorna, R. J.; Meystel, Alexander M. Series: Wiley Series on Intelligent Systems. Num Pages: 574 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 239 x 163 x 32. Weight in Grams: 948. . 2006. 1st Edition. Hardcover. . . . . N° de réf. du vendeur V9780471734277
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