摘要
论文提出了基于环境感知的具有动态推理能力的BDIAgent模型。该模型引入了环境感知函数、意见函数、过滤函数和行为函数对环境的变化和Agent自身推理过程进行研究,并用扩展了的ASL语言描述该模型的动态推理过程。然后,用机器人摞积木的例子来验证这种推理过程的合理性。最后进行总结并讨论了进一步的研究工作。
In this thesis,a dynamic rational BDI Agent model based on perception is proposed.The functions of the sense,opinion,filter and action are introduced to study the changes of environment and Agent.And the dynamic reasoning process is described with the extended ASL(Agent Script Language).Then the example robot piling up blocks is illustrated to verify that the reasoning process is reasonable.Finally,the conclusion and issues for future work are discussed.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第13期49-50,107,共3页
Computer Engineering and Applications
基金
山西省自然科学基金资助(编号:20041043)
