The Resource Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer
Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer
Resource Information
The item Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- 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
- Language
- eng
- Extent
- 1 online resource (xvii, 284 pages)
- Contents
-
- pt. I. Introduction
- 1. Overview
- 2. Basics of Collaborative Problem Solving
- pt. II. Theoretical Foundations
- 3. Distributed Constraint Problems
- A Model for Collaborative Problem Solving
- 4. Autonomous Dynamic Reconfiguration
- Improving Collaborative Problem Solving
- pt. III. Practical Concepts
- 5. Multi-agent System Infrastructure
- 6. External Constraint Problem Solving
- 7. Composable BDI Agents
- 8. Internal Constraint Problem Solving
- 9. Controlling Agent Melting and Agent Splitting
- pt. IV. Assessment
- 10. Evaluation
- 11. Conclusion and Future Work
- pt. V. Appendix
- App. A. Symbols and Abbreviations
- App. B. An XML-Encoded Request Message
- App. C. SICStus Prolog Code for Internal Constraint Problem Solving
- App. D. Initialization of the Hospital Scenario Generator
- Isbn
- 9783540458340
- Label
- Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving
- Title
- Autonomous dynamic reconfiguration in multi-agent systems
- 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
- http://library.link/vocab/creatorDate
- 1976-
- http://library.link/vocab/creatorName
- Hannebauer, Markus
- 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
- http://library.link/vocab/subjectName
-
- Intelligent agents (Computer software)
- Problem solving
- Distributed artificial intelligence
- Distributed artificial intelligence
- Intelligent agents (Computer software)
- Problem solving
- Label
- Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer
- Bibliography note
- Includes bibliographical references (pages 265-279) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- pt. I. Introduction -- 1. Overview -- 2. Basics of Collaborative Problem Solving -- pt. II. Theoretical Foundations -- 3. Distributed Constraint Problems -- A Model for Collaborative Problem Solving -- 4. Autonomous Dynamic Reconfiguration -- Improving Collaborative Problem Solving -- pt. III. Practical Concepts -- 5. Multi-agent System Infrastructure -- 6. External Constraint Problem Solving -- 7. Composable BDI Agents -- 8. Internal Constraint Problem Solving -- 9. Controlling Agent Melting and Agent Splitting -- pt. IV. Assessment -- 10. Evaluation -- 11. Conclusion and Future Work -- pt. V. Appendix -- App. A. Symbols and Abbreviations -- App. B. An XML-Encoded Request Message -- App. C. SICStus Prolog Code for Internal Constraint Problem Solving -- App. D. Initialization of the Hospital Scenario Generator
- Control code
- 166466860
- Dimensions
- unknown
- Extent
- 1 online resource (xvii, 284 pages)
- Form of item
- online
- Isbn
- 9783540458340
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/3-540-45834-4
- Other physical details
- illustrations.
- Specific material designation
- remote
- System control number
- (OCoLC)166466860
- Label
- Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer
- Bibliography note
- Includes bibliographical references (pages 265-279) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- pt. I. Introduction -- 1. Overview -- 2. Basics of Collaborative Problem Solving -- pt. II. Theoretical Foundations -- 3. Distributed Constraint Problems -- A Model for Collaborative Problem Solving -- 4. Autonomous Dynamic Reconfiguration -- Improving Collaborative Problem Solving -- pt. III. Practical Concepts -- 5. Multi-agent System Infrastructure -- 6. External Constraint Problem Solving -- 7. Composable BDI Agents -- 8. Internal Constraint Problem Solving -- 9. Controlling Agent Melting and Agent Splitting -- pt. IV. Assessment -- 10. Evaluation -- 11. Conclusion and Future Work -- pt. V. Appendix -- App. A. Symbols and Abbreviations -- App. B. An XML-Encoded Request Message -- App. C. SICStus Prolog Code for Internal Constraint Problem Solving -- App. D. Initialization of the Hospital Scenario Generator
- Control code
- 166466860
- Dimensions
- unknown
- Extent
- 1 online resource (xvii, 284 pages)
- Form of item
- online
- Isbn
- 9783540458340
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/3-540-45834-4
- Other physical details
- illustrations.
- Specific material designation
- remote
- System control number
- (OCoLC)166466860
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
Member of
- Lecture notes in computer science, 2427
- Lecture notes in computer science, Lecture notes in artificial intelligence
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Autonomous-dynamic-reconfiguration-in-multi-agent/SmOPg2BhCcM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Autonomous-dynamic-reconfiguration-in-multi-agent/SmOPg2BhCcM/">Autonomous dynamic reconfiguration in multi-agent systems : improving the quality and efficiency of collaborative problem solving, Markus Hannebauer</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
