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Autonomous Dynamic Reconfiguration in Multi-Agent Systems: Improving the Quality and Efficiency of Collaborative Problem Solving: 2427 (Lecture Notes in Computer Science) - Softcover
Inhaltsangabe
High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved.
The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.
The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.
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Críticas
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"This book deals with a new approach to collaborative problem solving. ... The necessary steps to a practical application of this approach are elaborated in a very impressive way. ... One special property of this book and this project is the continuous and consistent use of one example, the scheduling of medical appointments. ... A comprehensive list of references and the usual high quality of the series make, together with the contents, this book a must for all AI researchers in this area." (Christian Posthoff, Zentralblatt MATH, Vol. 1025, 2003)
Reseña del editor
High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved.
The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.
The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.
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- VerlagSpringer
- Erscheinungsdatum2008
- ISBN 10 3540443126
- ISBN 13 9783540443124
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten312
- Kontakt zum HerstellerNicht verfügbar
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems : Improving the Quality and Efficiency of Collaborative Problem Solving
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Springer Berlin Heidelberg, 2002
ISBN 10: 3540443126
ISBN 13: 9783540443124
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Autonomous dynamic reconfiguration in multi-agent systems. improving the quality and efficiency of collaborative problem solving.
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23 cm. original paperback. 284 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamp, otherwise (very) good). 460g. Bestandsnummer des Verkäufers 71816
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems.
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Softcover. Zustand: Gut. Gebraucht - Gut Verlagsmängelex., XXI, 284 p. High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving. The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study. For Researchers and professionals. Bestandsnummer des Verkäufers 13784
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems
Verlag:
Springer Berlin Heidelberg, 2002
ISBN 10: 3540443126
ISBN 13: 9783540443124
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Kartoniert / Broschiert. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable. Bestandsnummer des Verkäufers 4891008
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems: Improving the Quality and Efficiency of Collaborative Problem Solving (Lecture Notes in Computer Science) Hannebauer, Markus
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Paperback. Zustand: Used: Good. former library 2002 paperback withdrawn stamp in book/ on edge of pages clean crisp pages 284 pages/// H-2. Bestandsnummer des Verkäufers 1223O6CZ1VJ
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems : Improving the Quality and Efficiency of Collaborative Problem Solving
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study. Bestandsnummer des Verkäufers 9783540443124
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems
Verlag:
Springer Berlin Heidelberg Nov 2002, 2002
ISBN 10: 3540443126
ISBN 13: 9783540443124
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved. The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study. 312 pp. Englisch. Bestandsnummer des Verkäufers 9783540443124
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems
ISBN 10: 3540443126
ISBN 13: 9783540443124
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Taschenbuch. Zustand: Neu. Neuware -High communication efforts and poor problem solving results due to restricted overview are two central issues in collaborative problem solving. This work addresses these issues by introducing the processes of agent melting and agent splitting that enable individual problem solving agents to continually and autonomously reconfigure and adapt themselves to the particular problem to be solved.The author provides a sound theoretical foundation of collaborative problem solving itself and introduces various new design concepts and techniques to improve its quality and efficiency, such as the multi-phase agreement finding protocol for external problem solving, the composable belief-desire-intention agent architecture, and the distribution-aware constraint specification architecture for internal problem solving.The practical relevance and applicability of the concepts and techniques provided are demonstrated by using medical appointment scheduling as a case study.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch. Bestandsnummer des Verkäufers 9783540443124
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems: Improving the Quality and Efficiency of Collaborative Problem Solving (Lecture Notes in Computer Science, 2427)
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Autonomous Dynamic Reconfiguration in Multi-Agent Systems : Improving the Quality and Efficiency of Collaborative Problem Solving
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