d to submit first an abstract (to signal your interest and contribution) and then a full paper (for review) to the workshop. All accepted papers will be published as a volume from ...
Many approaches of the agent paradigm emphasize the social and intentional features of their systems, what are called social properties. The study of these aspects demands their ow...
We believe that successful co-operation between multi-agent systems providing services in a specific domain can be realized by constructing an infrastructure that supports the sem...
The deployment of multi-agent systems demands for justified confidence into their behaviour, both with respect to correct results of computations and with respect to timeliness t...
Social and intentional behaviours appear as two main components of the agent paradigm. Methods of conventional software engineering do not seem to be appropriate to gain a full kno...
The concept of a social norm is used in multi-agent systems to specify behaviours required of agents interacting in a given social context. We describe a method for specifying soci...
Much research in multi-agent systems reflects the field’s origins in classical artificial intelligence, showing how various refinements to the internal reasoning of individual a...
In an open system, multi-agent computations must compete for resources required for satisfying their goals. We describe CyberOrgs, a hierarchical model for acquisition and control...
As the science of multi-agent systems matures, many developers are looking to deploy mission critical applications on distributed multi-agent systems (DMAS). Due to their distribu...
Single-agent reinforcement learners in time-extended domains and multi-agent systems share a common dilemma known as the credit assignment problem. Multi-agent systems have the st...