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现有的“信念 -愿望 -意向 (BDI)”Agent系统将它的 3个主要心智状态 (信念、愿望、意向 )作为数据结构而不是模态算子来使用 ,导致信念 -愿望 -意向 Agent的研究在理论和实践之间存在较大的差距 .该文深入研究了过程推理系统 (precedure reasoning system,简称 PRS)和扩展的多 Agent推理系统 (developed multi- agentreasoning system,简称 d MARs) ,针对 d MARs系统的解释器 ,提出了一种改进的编程语言 Agent BDI,结合一个典型的分布式人工智能的例子 ,对它的语法和语义进行了描述 ,并给出了一个改进的 BDI Agent的解释器 ,使 BDI Agent能用一种类似于逻辑程序设计的方式编程实现 .
The existing BDI Agent system uses its three major mental states (beliefs, aspirations, intentions) as data structures instead of modal operators, resulting in the belief-desire-intention Agent There is a big gap between theory and practice.This paper studies deeply the PRS and the developed multi-agent reasoning system (d MARs) MARs system interpreter, an improved programming language Agent BDI is proposed. Its syntax and semantics are described based on a typical example of distributed artificial intelligence. An improved BDI Agent interpreter is also given , So that BDI Agent can be programmed in a way similar to logic programming.