Co-ordination in Artificial Agent Societies Social Structures and Its Implications for Autonomous Problem-Solving Agents /

This 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 structur...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Ossowski, Sascha (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
Έκδοση:1st ed. 1999.
Σειρά:Lecture Notes in Artificial Intelligence ; 1535
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Co-ordination in Artificial Agent Societies  |h [electronic resource] :  |b Social Structures and Its Implications for Autonomous Problem-Solving Agents /  |c by Sascha Ossowski. 
250 |a 1st ed. 1999. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 1999. 
300 |a XVI, 228 p.  |b online resource. 
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490 1 |a Lecture Notes in Artificial Intelligence ;  |v 1535 
505 0 |a Co-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 |a This 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. 
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650 0 |a Artificial intelligence. 
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