Constraint Satisfaction Techniques for Agent-Based Reasoning
(Sprache: Englisch)
Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource...
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Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource sharing in a variety of practical domains such as transportation, production, supply-chains, network management and human resourcemanagement. In this book we study new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning.
Klappentext zu „Constraint Satisfaction Techniques for Agent-Based Reasoning “
Constraint satisfaction problems are significant in the domain of automated reasoning for artificial intelligence. They can be applied to the modeling and solving of a wide range of combinatorial applications such as planning, scheduling and resource sharing in a variety of practical domains such as transportation, production, supply-chains, network management and human resource management. In this book we study new techniques for solving constraint satisfaction problems, with a special focus on solution adaptation applied to agent reasoning.
Inhaltsverzeichnis zu „Constraint Satisfaction Techniques for Agent-Based Reasoning “
Interchangeability and Solution Adaptation in Crisp CSPs.- Interchangeability in Soft CSPs.- Multi Agent Computation of Interchangeability in Distributed CSPs.- Interchangeability in Dynamic Environments.- Generic Case Adaptation Framework.- Conclusions.
Bibliographische Angaben
- Autor: Nicoleta Neagu
- 2005, 158 Seiten, Maße: 15,5 x 23,3 cm, Kartoniert (TB), Englisch
- Verlag: Springer
- ISBN-10: 3764372176
- ISBN-13: 9783764372170
- Erscheinungsdatum: 28.01.2005
Sprache:
Englisch
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