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作 者:骆斌[1] 陈武华[1] 张东摩[1] 陈世福[1]
机构地区:[1]南京大学计算机软件新技术国家重点实验室,南京大学计算机科学与技术系,江苏南京210093
出 处:《南京大学学报(自然科学版)》2000年第5期545-551,共7页Journal of Nanjing University(Natural Science)
基 金:国家自然科学基金(69775019);博士点基金(97028428)
摘 要:描述一种基于情境演算的、意向驱动的AOP语言———AOPLID ,并给出AOPLID对追杀问题的程序设计实例 .该语言克服了GOLOG的缺点 。This paper proposes a new intention driven AOP language called AOPLID, which is based on situation calculus and overcomes GOLOG's shortcomings. It is well suited for dealing with applications in dynamic domains and expressing the cooperation relationship in multi Agent systems. Each AOPLID program consists of 6 parts: declarations, capabilities, effects, beliefs, intentions and strategies. The content and function of each part are also provided. In this paper, we give the specification of AOPLID and present an AOPLID program of solution to the PURSUIT problem as an example, which is compared to Munidar's solution. AOPLID has the advantages of both procedural and declarative languages. The procedural characteristic makes it convenient to control an Agent while the declarative characteristic makes it easy to describe the mental state of an Agent such as intention, goal, and commitment.
分 类 号:TP311.11[自动化与计算机技术—计算机软件与理论]
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