Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving
Resource Information
The work Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving
Resource Information
The work Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving
- Title remainder
- improving the quality and efficiency of collaborative problem solving
- Statement of responsibility
- Markus Hannebauer
- Subject
-
- Distributed artificial intelligence
- Distributed artificial intelligence
- Intelligent agents (Computer software)
- Intelligent agents (Computer software)
- Intelligent agents (Computer software)
- Problem solving -- Data processing
- Problem solving -- Data processing
- Problem solving -- Data processing
- Distributed artificial intelligence
- Language
- eng
- Summary
- 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
- Cataloging source
- COO
- Dewey number
- 006.3
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- QA76.76.I58
- LC item number
- H36 2002
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Lecture notes in computer science
- Series volume
- 2427. Lecture notes in artificial intelligence
Context
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