User-centered consultation systems can be viewed as systems with trust in the competence of the user, whereas conventional knowledge systems are often based on some mistrust. By o...
Georg Buscher, Joachim Baumeister, Frank Puppe, Di...
Many real–world information needs are naturally formulated as queries with temporal constraints. However, the structured temporal background information needed to support such c...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
In a distributed multi-agent based software environment, the traditional monolithic user model ceases to exist and is replaced by user model fragments, developed by the various so...
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on highspeed netw...