The A&A Programming Model and Technology for Developing Agent Environments in MAS

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Mehdi Dastani, Amal El Fallah Seghrouchni, Alessandro Ricci, Michael Winikoff (eds.)
Programming Multi-Agent Systems, pages 89–106
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 4908
Springer
April 2008

In human society, almost any cooperative working context accounts for different kinds of object, tool, artifact in general, that humans adopt, share and intelligently exploit so as to support their working activities, in particular social ones. According to theories in human sciences, such entities have a key role in determining the success or failure of the activities, playing an essential function in simplifying complex tasks and – more generally – in designing solutions that scale with activity complexity. Analogously to the human case, we claim that also (cognitive) multi-agent systems (MAS) could greatly benefit from the definition and systematic exploitation of a suitable notion of working environment, composed by different sorts of artifacts, dynamically constructed, shared and used by agents to support their working activities. Along this line, in this paper we introduce and discuss a programming model called A&A (Agents and Artifacts), which aims at directly modelling and engineering such aspects in the context of cognitive MAS. Besides the conceptual framework, we present the current state of prototyping technologies implementing A&A principles – CArtAgO platform in particular –, and show how they can be integrated with existing cognitive MAS programming frameworks, adopting the Jason programming platform as the reference case.

journal or series
book Lecture Notes in Computer Science (LNCS)