Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
A programming language which is optimized for modelling multi-agent interaction within articulated social structures such as organizations is described with several examples of it...
Scott Moss, Helen Gaylard, Steve Wallis, Bruce Edm...
Abstract. We present the computational counterpart of the KGP (Knowledge, Goals, Plan) declarative model of agency for Global Computing. In this context, a computational entity is ...
Andrea Bracciali, Neophytos Demetriou, Ulrich Endr...
This paper proposes an agent-oriented meta-model that provides rigorous concepts for conducting enterprise modelling. The aim is to allow analysts to produce an enterprise model th...