AgentSpeak(XL)

摘要: This paper shows how to use a decision-theoretic task scheduler in order automatically generate efficient intention selection functions for BDI agent-oriented programming languages. We concentrate here on the particular extensions known language called AgentSpeak(L) and its interpreter which were necessary so that integration with was possible. The proposed language, AgentSpeak(XL), has several other features increase usability; some of these are indicated briefly this paper. assess extended by means factory plant scenario where there is one mobile robot charge packing storing items, besides administrative security tasks. case study simulation results show that, comparison AgentSpeak(L), AgentSpeak(XL) provides much easier implementation applications require quantitative reasoning, or specific control over intentions (e.g., giving priority certain tasks once they become intended).