Emotions play an important role in human decision making. This often has a beneficial effect, and so it is desirable to explore whether emotions can also play a role in agent dec...
Fahd Saud Nawwab, Trevor J. M. Bench-Capon, Paul E...
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Successor state axioms are an optimal solution to the famous Frame Problem in reasoning about actions--but only as far as its representational aspect is concerned. We show how by g...
We report on an experiment to implement an autonomous creature situated in a two-dimensional world, that shows various learning and problem-solving capabilities, within the Societ...
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...