Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
We present an OBDD-based methodology for verifying time, knowledge, and strategies in multi-agent systems specified by the formalism of interpreted systems. To this end, we invest...
We present an algorithm for finding uniform strategies in multi-agent systems with incomplete information. The algorithm finds all maximal uniform strategies for agents with incomp...
Jan Calta, Dmitry Shkatov, Bernd-Holger Schlinglof...
The paper presents a load management mechanism for distributed simulations of multi-agent systems. The mechanism minimises the cost of accessing the shared state in the distribute...
Ton Oguara, Dan Chen, Georgios K. Theodoropoulos, ...