Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of par...
Coordination within decentralized agent groups frequently requires reaching global consensus, but typical hierarchical approaches to reaching such decisions can be complex, slow, ...
Multi-agent systems allow the simulation of complex phenomena that cannot easily be described analytically. Multi-agent approaches are often based on coordinating agents whose act...
Whilst tools assist the various tasks required to develop a multi-agent system (MAS), yet there still remains a gap between the generation of MAS models and program code. AUML dev...
It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-base...