000 | 03994nam a22006375i 4500 | ||
---|---|---|---|
001 | 978-3-540-45834-0 | ||
003 | DE-He213 | ||
005 | 20240423132442.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s2002 gw | s |||| 0|eng d | ||
020 |
_a9783540458340 _9978-3-540-45834-0 |
||
024 | 7 |
_a10.1007/3-540-45834-4 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aHannebauer, Markus. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aAutonomous Dynamic Reconfiguration in Multi-Agent Systems _h[electronic resource] : _bImproving the Quality and Efficiency of Collaborative Problem Solving / _cby Markus Hannebauer. |
250 | _a1st ed. 2002. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2002. |
|
300 |
_aXXII, 290 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2427 |
|
505 | 0 | _a1.Overview -- 2. Basics of Collaborative Problem Solving -- Theoretical Foundations -- 3. Distributed Constraint Problems — A Model for Collaborative Problem Solving -- 4. Autonomous Dynamic Reconfiguration — Improving Collaborative Problem Solving -- 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 -- Assessment -- 10. Evaluation -- 11. Conclusion and Future Work -- A. Symbols and Abbreviations -- B. An XML-Encoded Request Message -- C. SICStus Prolog Code for Internal Constraint Problem Solving -- D. Initialization of the Hospital Scenario Generator. | |
520 | _aHigh 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. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aCompilers (Computer programs). | |
650 | 0 | _aApplication software. | |
650 | 0 | _aComputers and civilization. | |
650 | 0 | _aBusiness information services. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aCompilers and Interpreters. |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aComputers and Society. |
650 | 2 | 4 | _aIT in Business. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540443124 |
776 | 0 | 8 |
_iPrinted edition: _z9783662197714 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v2427 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-45834-4 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c187902 _d187902 |