Existing organisational centred multi-agent systems regulate agents' activities. However, population/environmental changes may lead to a poor fullment of system's goals,...
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
Software design is the hardest part of creating intelligent agents. Therefore agent architectures should be optimized as design tools. This paper presents an architectural synthes...
We consider multi-agent systems whose agents compete for resources by striving to be in the minority group. The agents adapt to the environment by reinforcement learning of the pr...
Abstract. We propose ParleE, a quantitative, flexible and adaptive model of emotions for a conversational agent in a multi-agent environment capable of multimodal communication. Pa...
The Duy Bui, Dirk Heylen, Mannes Poel, Anton Nijho...