Cooperative Problem Solving Process Based on MAS_NP Model

Yanbin Peng, B. Liao, Ji Gao, Jun Hu, CunHao Wang, Jie-Qing Ai, Hang Guo
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引用次数: 6

Abstract

In order to enable the individual agents to be aware of the both macro constraints from agent social and instructions from agent's owner, a norm and policy extended agent BDI model (called NPCD-Agent) has been proposed, by integrating norms and policies into traditional agent BDI model. On the basis of NPCD-Agent model, this paper proposes a semantic model of multi-agent system (called MASNP), where cooperative problem solving (CPS) process is formally described. On the one hand, at the social level, the social constraint of agents can be specified by means of norms defined by the social administrators. And on the other hand, agents are instructed by polices presented by their owners. A case study shows that macro social constraint and instruction from agent's owner are both considered in CPS process, which makes the CPS process more reasonable.
基于MAS_NP模型的协同问题求解过程
为了使个体智能体能够同时感知来自智能体社会的宏观约束和来自智能体所有者的指令,将规范和策略集成到传统的智能体BDI模型中,提出了一种规范和策略扩展的智能体BDI模型(NPCD-Agent)。在NPCD-Agent模型的基础上,提出了一种多智能体系统的语义模型(MASNP),并形式化地描述了协作问题解决(CPS)过程。一方面,在社会层面上,可以通过社会管理者定义的规范来规定行为人的社会约束。而另一方面,特工们则受其主人提出的政策的指导。实例研究表明,CPS过程中同时考虑了宏观社会约束和代理所有者的指令,使得CPS过程更加合理。
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