Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
From a system's perspective as opposed to an individual agent perspective, MAS adaptation is now becoming an important topic, since it can help to obtain expected outcomes ...
As no plan can cover all possible contingencies, the ability to detect failures during plan execution is crucial to the robustness of any autonomous system operating in a dynamic ...
Systems provide a rich abstraction within which divers concepts of reasoning, acceptability and defeasibility of arguments, etc., may be studied using a unified framework. Two imp...
In multi -agent systems based on softbots, communication architectures have significant influences on system performance as interaction and cooperation of softbots are carried out...