Rational, Robust, and Secure Negotiations in Multi-Agent Systems /
Ito, Takayuki.
Rational, Robust, and Secure Negotiations in Multi-Agent Systems / edited by Takayuki Ito, Hiromitsu Hattori, Minjie Zhang, Tokuro Matsuo. - recurso en línea. - Studies in Computational Intelligence, 89 1860-949X ; .
Springer eBooks
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.
This book addresses all aspects of 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 being explored by researchers from different communities in Multi-Agent systems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, secure protocols, matchmaking & brokering, argumentation, and co-operation mechanisms. This workshop will bring together researchers from these communities to learn about each other ’s approaches, form long-term collaborations, and cross-fertilize the different areas to accelerate progress towards scaling up to larger and more realistic applications.
9783540762829
10.1007/9783540762829 doi
TA329-348
Rational, Robust, and Secure Negotiations in Multi-Agent Systems / edited by Takayuki Ito, Hiromitsu Hattori, Minjie Zhang, Tokuro Matsuo. - recurso en línea. - Studies in Computational Intelligence, 89 1860-949X ; .
Springer eBooks
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.
This book addresses all aspects of 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 being explored by researchers from different communities in Multi-Agent systems. They are, for instance, being studied in agent negotiation, multi-issue negotiations, auctions, mechanism design, electronic commerce, voting, secure protocols, matchmaking & brokering, argumentation, and co-operation mechanisms. This workshop will bring together researchers from these communities to learn about each other ’s approaches, form long-term collaborations, and cross-fertilize the different areas to accelerate progress towards scaling up to larger and more realistic applications.
9783540762829
10.1007/9783540762829 doi
TA329-348