面向虚拟组织的政策导向型自治、可控Agent模型

针对传统BDI模型在虚拟组织应用中所存在的三点不足,本文提出了政策导向型Agent模型.模型以政策导向为手段,利用政策来约束Agent动机的生成,进而影响其意图与行为的产生,增强Agent的可控性.模型采用了分层政策结构,根据政策的所代表利益方的不同,将政策划分为组织层政策与个体层政策,以此来解决Agent个体行为与组织整体目标的冲突问题.基于扩展的可废止逻辑框架,政策被表示为Agent的动机(义务、愿望)生成规则,这为模型提供了一个线性计算复杂度的形式化理论.模型在保持Agent一定自治性的同时,增强了Agent在组织级别上的可控性.

A Policy-oriented Autonomic, Controllable Agent Model for Virtual Organization

To overcome the vital shortcomings of traditional BDI Agent in the application of VO, we proposed a Policy-Oriented Autonomic, Controllable Agent Model. To enhance the controllability of the Agent, a policy was used to restrain the formation of Agent motivation and to affect the formation of their intentions and behaviors. This model used a hierarchical policy structure, with different policies representing the interests of different partners in the VO. In order to solve the conflict between individual interests and organizational objectives, the policies were divided into two different layers of organizational policy and individual policy. By using extended Defeasible Logical framework, we established a formal theory for the model with linear time computational complexity. This model maintained a certain degree of autonomy and at the same time enhanced the controllability at the organizational level.