Role-based multi-agent systems

Haibin Zhu, Meng Chu Zhou

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Agent system design is a complex task challenging designers to simulate intelligent collaborative behavior. Roles can reduce the complexity of agent system design by categorizing the roles played by agents. The role concepts can also be used in agent systems to describe the collaboration among cooperative agents. In this chapter, we introduce roles as a means to support interaction and collaboration among agents in multi-agent systems. We review the application of roles in current agent systems at first, then describe the fundamental principles of role-based collaboration and propose the basic methodologies of how to apply roles into agent systems (i.e., the revised E-CARGO model). After that, we demonstrate a case study: a soccer robot team designed with role specifications. Finally, we present the potentiality to apply roles into information personalization.

Original languageEnglish (US)
Title of host publicationPersonalized Information Retrieval and Access
Subtitle of host publicationConcepts, Methods and Practices
PublisherIGI Global
Pages254-285
Number of pages32
ISBN (Print)9781599045108
DOIs
StatePublished - Dec 1 2008

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)

Cite this

Zhu, H., & Zhou, M. C. (2008). Role-based multi-agent systems. In Personalized Information Retrieval and Access: Concepts, Methods and Practices (pp. 254-285). IGI Global. https://doi.org/10.4018/978-1-59904-510-8.ch012