Hiromitsu Hattori – författare

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.

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.

Arti?cial intelligence has recently been re-energized to provide the clues needed to resolve complicated problems. AI is also expected to play a central role in enhancing a wide variety of daily activities. JSAI (The Japanese Society for Arti?cial Intelligence) is responsible for boosting the activities of AI researchers in Japan, and their series of annual conferences o?ers attractive forums for the exposition of the latest achievements and inter-group communication. In the past, the best papers of the conferences were published in the LNAI series. This book consists of award papers from the 22nd annual conference of the JSAI (JSAI 2008) and selected papers from the three co-located workshops. Eight papers were selected among more than 400 presentations at the conference and 18 papers were selected from the 34 presentations at the co-located wo- shops; Logic and Engineering of Natural Language Semantics 5 (LENLS 2008), the 2nd International Workshop on Juris-informatics (JURISIN 2008), and the First International Workshop on Laughter in Interaction and Body Movement (LIBM 2008). The award papers from JSAI 2008 were selected through a r- orous selection process. In the process, papers recommended by session chairs, session commentators, and PC members were carefully reviewed, before the ?nal decision was made.

Arti?cial intelligence has recently been re-energized to provide the clues needed to resolve complicated problems. AI is also expected to play a central role in enhancing a wide variety of daily activities. JSAI (The Japanese Society for Arti?cial Intelligence) is responsible for boosting the activities of AI researchers in Japan, and their series of annual conferences o?ers attractive forums for the exposition of the latest achievements and inter-group communication. In the past, the best papers of the conferences were published in the LNAI series. This book consists of award papers from the 22nd annual conference of the JSAI (JSAI 2008) and selected papers from the three co-located workshops. Eight papers were selected among more than 400 presentations at the conference and 18 papers were selected from the 34 presentations at the co-located wo- shops; Logic and Engineering of Natural Language Semantics 5 (LENLS 2008), the 2nd International Workshop on Juris-informatics (JURISIN 2008), and the First International Workshop on Laughter in Interaction and Body Movement (LIBM 2008). The award papers from JSAI 2008 were selected through a r- orous selection process. In the process, papers recommended by session chairs, session commentators, and PC members were carefully reviewed, before the ?nal decision was made.

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.

This book constitutes the thoroughly refereed post-workshop proceedings of 5 workshops, held at the 10th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2011, in Taipei, Taiwan, May 2-6, 2011. The 37 revised full papers presented together with 1 invited paper were carefully reviewed and selected from numerous submissions. The papers are organized in sections on the workshops Agent-Based Modeling for Policy Engineering (AMPLE), Agent-Oriented Software Engineering (AOSE), Autonomous Robots and Multirobot Systems (ARMS), Data Oriented Constructive Mining and Multi-Agent Simulation, Massively Multi-Agent Systems: Models, Methods and Tools (DOCM³AS), and Infrastructures and Tools for Multiagent Systems (ITMAS).