An approach to extend process monitoring with the help of information agents (IA) handling semantic data is presented in this paper. According to this approach, an operator of a pr...
Teppo Pirttioja, Ilkka Seilonen, Antti Pakonen, Aa...
This paper considers a distributed system of software agents who cooperate in helping their users to find services, provided by different agents. The agents need to ensure that th...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
We argue that artificial intelligence systems must be able to manipulate their own internal representations automatically in order to deal with an infinitely complex and ever chan...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...