000 | 03323nam a22005295i 4500 | ||
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001 | 978-3-540-49212-2 | ||
003 | DE-He213 | ||
005 | 20240423132557.0 | ||
007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540492122 _9978-3-540-49212-2 |
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024 | 7 |
_a10.1007/3-540-49212-7 _2doi |
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050 | 4 | _aQA76.758 | |
072 | 7 |
_aUMZ _2bicssc |
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072 | 7 |
_aCOM051230 _2bisacsh |
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072 | 7 |
_aUMZ _2thema |
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082 | 0 | 4 |
_a005.1 _223 |
100 | 1 |
_aOssowski, Sascha. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aCo-ordination in Artificial Agent Societies _h[electronic resource] : _bSocial Structures and Its Implications for Autonomous Problem-Solving Agents / _cby Sascha Ossowski. |
250 | _a1st ed. 1999. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999. |
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300 |
_aXVI, 228 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1535 |
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505 | 0 | _aCo-ordination -- Distributed Artificial Intelligence -- Analysis -- Emergent Co-ordination by Structural Co-operation -- Structural Co-operation and Bargaining -- An Instrumentation of Structural Co-operation -- Road Traffic Management -- A Case Study -- Conclusions. | |
520 | _aThis monograph provides a comprehensive survey of the different approaches to coordination in societies of artificial an human agents. Setting out from a critical assessment of the state of the art, the author develops a method of structuring multi-agent applications with a mechanism called structural cooperation. Agents are equipped with expertise about their environment in order to detect and overcome specific types of problem, they make use of their social knowledge to mutually adjust their activities, and they are coerced toward coherent collective behavior through normative rules. The proposed model is formalized theoretically within game theory and realized by means of an agent architecture. It is assessed experimentally by building a prototype of a distributed decision support system for road traffic management and compared to an alternative model based on a centralized architecture. A valuable feature of the work is that it not only promotes a well-founded formal model of coordination in artificial agent societies but also applies it in an operational software architecture organized as a society of intelligent agents to solve real-world problems. | ||
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aArtificial Intelligence. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540654957 |
776 | 0 | 8 |
_iPrinted edition: _z9783662169285 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v1535 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/3-540-49212-7 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
912 | _aZDB-2-BAE | ||
942 | _cSPRINGER | ||
999 |
_c189313 _d189313 |