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Dynamic Team Forming in Self-interested Multi-agent Systems

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AI 2005: Advances in Artificial Intelligence (AI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3809))

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Abstract

As social entities, intelligent agents need to collaborate with others, regardless of whether they are cooperative or self-interested. The durations of agent collaborations can be long-term or “one-shot”. Nowadays, many multi-agent system applications require the system to work in open and dynamic domains. In such dynamic environments, how long collaboration should be kept among particular agents are always a problem to be discussed. In this paper, we focus on general self-interested multi-agent systems and analyze the advantages and disadvantages that can be brought by one-shot teams and long-term teams. Furthermore, we present a mechanism that can enable agents to form teams with reasonable terms and objects.

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© 2005 Springer-Verlag Berlin Heidelberg

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Bai, Q., Zhang, M. (2005). Dynamic Team Forming in Self-interested Multi-agent Systems. In: Zhang, S., Jarvis, R. (eds) AI 2005: Advances in Artificial Intelligence. AI 2005. Lecture Notes in Computer Science(), vol 3809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11589990_70

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  • DOI: https://doi.org/10.1007/11589990_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30462-3

  • Online ISBN: 978-3-540-31652-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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