Fr. 135.00

Rational, Robust, and Secure Negotiations in Multi-Agent Systems

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

Negotiation mechanisms have been studied widely in the ?eld of multi-agent systems. They possess a variety of features that enable agents be negotiate with each other even in open environments. However, mainly because of l- ited computational power, there are several assumptions that traditionally limit the degree of openness. Recent studies have tended to focus on c- pletely open and highly uncertain environments that apply agent systems to the real world. For example, in emergency rescue domains, we cannot expect to know when and where a ?re starts and when humans are likely to be - jured. Also, in Internet auctions, there can be shill bids since there are many unauthenticated participants. Nowadays, we can employ machines with large computational power to compute an optimal way for agents to negotiate, even incompletelyopenandhighlyuncertainenvironments. Forthepracticaluseof multi-agent systems in the real world, the reliability of each agent's behavior is essentially required. Concretely, agents must obtain the most appropriate solution/solutions based on rational, robust, and secure negotiation among multiple agents even if the environment is intractable. We solicit papers on all aspects of such negotiation mechanisms in multi-agent systems, including multi-issue negotiations, concurrent negotiations, strategy-proof mechanisms, rational argumentation, auctions and voting, and so on. These issues are - ing explored by researchers from di?erent communities in multi-agent s- tems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, - cure protocols, matchmaking and brokering, argumentation, and co-operation mechanisms.

Sommario

Theories for Complex Multi-Agent Systems.- Negotiation Agents' Decision Making Using Markov Chains.- A Multi-Issue Negotiation Protocol Among Nonlinear Utility Agents: A Preliminary Report.- A Decentralized Model for Multi-Attribute Negotiations with Incomplete Information and General Utility Functions.- A General Model for Pareto Optimal Multi-Attribute Negotiations.- Cooperation-Based Multilateral Multi-Issue Negotiation for Crisis Management.- A Fuzzy Logic-Based Approach for Flexible Self-Interested Agent Team Forming.- Practical Approach for Complex Multi-Agent Systems.- A Novel Group Signature Scheme Based on Bilinear Pairings and Gap Diffie-Hellman Group.- Experimental Evaluation of Possibilistic Mechanism for Negotiation Partners Selection.- Constructing the Structure of Utility Graphs Used in Multi-Item Negotiation Through Collaborative Filtering of Aggregate Buyer Preferences.- Asynchronous Constraint-Based Approach: New Solution for any Constraint Problem.

Riassunto

Negotiation mechanisms have been studied widely in the ?eld of multi-agent systems. They possess a variety of features that enable agents be negotiate with each other even in open environments. However, mainly because of l- ited computational power, there are several assumptions that traditionally limit the degree of openness. Recent studies have tended to focus on c- pletely open and highly uncertain environments that apply agent systems to the real world. For example, in emergency rescue domains, we cannot expect to know when and where a ?re starts and when humans are likely to be - jured. Also, in Internet auctions, there can be shill bids since there are many unauthenticated participants. Nowadays, we can employ machines with large computational power to compute an optimal way for agents to negotiate, even incompletelyopenandhighlyuncertainenvironments. Forthepracticaluseof multi-agent systems in the real world, the reliability of each agent’s behavior is essentially required. Concretely, agents must obtain the most appropriate solution/solutions based on rational, robust, and secure negotiation among multiple agents even if the environment is intractable. We solicit papers on all aspects of such negotiation mechanisms in multi-agent systems, including multi-issue negotiations, concurrent negotiations, strategy-proof mechanisms, rational argumentation, auctions and voting, and so on. These issues are - ing explored by researchers from di?erent communities in multi-agent s- tems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, - cure protocols, matchmaking and brokering, argumentation, and co-operation mechanisms.

Dettagli sul prodotto

Con la collaborazione di Hiromits Hattori (Editore), Hiromitsu Hattori (Editore), Takayuki Ito (Editore), Tokuro Matsuo (Editore), Minjie Zhang (Editore), Minjie Zhang et al (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 06.10.2010
 
EAN 9783642095122
ISBN 978-3-642-09512-2
Pagine 184
Dimensioni 155 mm x 234 mm x 235 mm
Peso 306 g
Illustrazioni XI, 184 p.
Serie Studies in Computational Intelligence
Studies in Computational Intelligence
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie

C, Model, Künstliche Intelligenz, Artificial Intelligence, fuzzy logic, engineering, Fuzzy, Mathematical and Computational Engineering, Engineering mathematics, Applied mathematics, Mathematical and Computational Engineering Applications, Markov chains, multi-agent system, multi-agent systems

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