Robust agent communities

Sandip Sen, Sabyasachi Saha, Stéphane Airiau, Teddy Cándale, Dipyaman Banerjee, Doran Chakraborty, Partha Mukherjee, Anil Gursel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We believe that intelligent information agents will represent their users interest in electronic marketplaces and other forums to trade, exchange, share, identify, and locate goods and services. Such information worlds will present unforeseen opportunities as well as challenges that can be best addressed by robust, self-sustaining agent communities. An agent community is a stable, adaptive group of self-interested agents that share common resources and must coordinate their efforts to effectively develop, utilize and nurture group resources and organization. More specifically, agents will need mechanisms to benefit from complementary expertise in the group, pool together resources to meet new demands and exploit transient opportunities, negotiate fair settlements, develop norms to facilitate coordination, exchange help and transfer knowledge between peers, secure the community against intruders, and learn to collaborate effectively. In this talk, I will summarize some of our research results on trust-based computing, negotiation, and learning that will enable intelligent agents to develop and sustain robust, adaptive, and successful agent communities.

Original languageEnglish (US)
Title of host publicationAutonomous Intelligent Systems
Subtitle of host publicationAgents and Data Mining - Second International Workshop, AIS-ADM 2007, Proceedings
Pages28-45
Number of pages18
StatePublished - Dec 1 2007
Event2nd International Workshop Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007 - St. Petersburg, Russian Federation
Duration: Jun 3 2007Jun 5 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4476 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007
CountryRussian Federation
CitySt. Petersburg
Period6/3/076/5/07

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Sen, S., Saha, S., Airiau, S., Cándale, T., Banerjee, D., Chakraborty, D., Mukherjee, P., & Gursel, A. (2007). Robust agent communities. In Autonomous Intelligent Systems: Agents and Data Mining - Second International Workshop, AIS-ADM 2007, Proceedings (pp. 28-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4476 LNAI).