Abstract. This paper extends a programming language for implementing cognitive agents with the capability to explicitly represent beliefs and reason about them. In this programming...
Abstract. One of the main challenges for the successful application of agentbased systems in mobile and embedded devices is enabling application developers to reconcile the needs o...
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...