AgentSpeak(XL): Efficient Intention Selection in BDI Agents via Decision-Theoretic Task Scheduling

This paper shows how to use a decision-theoretic task scheduler in order to automatically generate efficient intention selection functions for BDI agent-oriented programming languages. We concentrate here on the particular extensions to a known BDI language called AgentSpeak(L) and its interpreter which were necessary so that the integration with a task scheduler was possible. The proposed language, called AgentSpeak(XL), has several other features which increase its usability; som