Agent Coordination Contexts in a MAS Coordination Infrastructure
Alessandro Ricci, Mirko Viroli, Andrea Omicini
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.
Paolo Petta, Jörg P. Müller (eds.), Taylor & Francis
Special Issue: Best of “From Agent Theory to Agent Implementation (AT2AI) - 4”
@article{acc-aai20,
Author = {Ricci, Alessandro and Viroli, Mirko and Omicini, Andrea},
Doi = {10.1080/08839510500484207},
Editor = {Petta, Paolo and M{\"u}ller, J{\"o}rg P.},
Issn = {0883-9514},
Issn-Online = {1087-6545},
Journal = {Applied Artificial Intelligence: An International Journal},
Month = feb # {--} # apr,
Note = {Special Issue: Best of ``From Agent Theory to Agent Implementation (AT2AI) -- 4''},
Number = {2--4},
Pages = {179--202},
Publisher = {Taylor \& Francis},
ScopusId = {2-s2.0-33645779466},
Title = {Agent Coordination Contexts in a {MAS} Coordination Infrastructure},
Url = {http://www.tandfonline.com/doi/full/10.1080/08839510500484207},
Volume = 20,
WosId = {000236388900005},
Year = 2006}