This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
The aim of this research is to assess the r^ole of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-...
Abstract. This paper introduces a novel framework for designing multiagent systems, called “Distributed Agent Evolution with Dynamic Adaptation to Local Unexpected Scenarios” (...
Suranga Hettiarachchi, William M. Spears, Derek Gr...
Fault tolerance schemes for mobile agents to survive agent server crash failures are complex since developers normally have no control over remote agent servers. Some solutions mo...
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...