The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. We focus on the foundational...
In the multi-agent pathfinding problem, groups of agents need to plan paths between their respective start and goal locations in a given environment, usually a two-dimensional map...
Multi-agent systems (MASs), comprised of autonomous entities with the aim to cooperate to reach a common goal, may be viewed as computational models of distributed complex systems ...
Abstract. This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine t...
Abstract. A framework for cooperative goal-satisfaction in large-scale MultiAgent Systems (MAS) is presented in this paper. This is performed by demonstrating the applicability of ...