Detecting and preventing the adversarial action of an agent with respect to the community of agents can be a serious issue in the design of open multi-agent systems. This task is ...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
The concepts of autonomous agent and multi-agent system appropriate levels of abstraction for the design, implementation and simulation of many complex, distributed computational s...
Michael Luck, Peter McBurney, Jorge Gonzalez-Palac...
This paper proposes an operational semantics for BDI modules that can be incorporated in multi-agent programming languages. The introduced concept of modules facilitates the implem...