Agent Coordination Contexts in a MAS Coordination Infrastructure


Alessandro Ricci, Mirko Viroli, Andrea Omicini

Applied Artificial Intelligence: An International Journal 20(2-4), pages 179–202
February 2006

In order to harness complexity in multi-agent systems (MAS), first-class entities that mediate interaction between agents and environment are required, which can encapsulate control over MAS behavior and evolution. To this end, MAS infrastructures should provide mediating artifacts, both enabling and constraining agent interactions, and possibly representing admissible agent perceptions and actions over the environment.

Along this line, in this paper, we take the notion of agent coordination context (ACC) as a means to model agent-environment interactions, and show how it can be embedded within a MAS infrastructure in terms of model and runtime structures. Then, we take the TuCSoN coordination infrastructure as a reference, and extend it with the ACC abstraction to integrate the support for coordination with organization and security.

Journals & Series

Publication

— authors

— editors

Paolo Petta, Jörg P. Müller

— status

published

— sort

article in journal

— publication date

February 2006

— journal

Applied Artificial Intelligence: An International Journal

— volume

20

— issue

2-4

— pages

179–202

URLs

original page

identifiers

— DOI

10.1080/08839510500484207

— IRIS

11585/27302

— Scopus

2-s2.0-33645779466

— WoS / ISI

000236388900005

— print ISSN

0883-9514

— online ISSN

1087-6545

notes

— note

Special Issue: Best of “From Agent Theory to Agent Implementation (AT2AI) - 4”

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