Agent模型在电力企业应用集成中的研究.pdf

摘 要
近年来，基于智能Agent的软件开发和建模技术在软件工程领域的地位越来越重要，
本文在对电力企业智能Agent抽象体系结构研究的基础上引入非正规模态算子，给出了
一种新的智能Agent模型，从BDI语义上证明了它的可行性和进化性，并将其应用于智能
Agent体系结构。Agent协作是多Agent领域的重要研究方向之一，通过对现有的任务分
解/分配算法进行总结，本文给出了改进的任务分解算法，在与其它算法的比较的同时
证明了它在时间复杂度上的优越性；同时给出了对应的任务分配算法，并针对子任务的
优先权问题提出了任务的边缘分配：分别对验证性任务和并发性任务的分配算法进行了
描述，用实验说明了它的优越性，并从数学上对其进行了论证。最后将其应用于电力企
业，给出了电力企业的多Agent系统框架。

关键词：非正规模态算子,BDI 语义,边缘分配,验证性任务,并发性任务

ABSTRACT
The skills of software programming and modeling based on Intelligent Agent are more
important in software engineering field recent years. Founded on the research of architecture
of traditional Agent that is applied in power enterprise, we provide a new Agent model by
introducing some non-normal modal operators, and prove its feasibility as well as evolvement
in BDI semantic, and it is applied to Intelligent Agent Architecture. The research of the
collaboration of multi-agent is a highly active aspect in the domain of multi-agent. We bright
forward the modified task decomposition algorithm by summarizing the existing task
decomposition and allocation algorithms, and testify its advantage in time complexity by
means of comparing with existing algorithms. And we propose the corresponding task
allocation algorithm as well as the task’s marginal allocation, which is directed to the priority
of sub-tasks. It describes the task allocation algorithms of verifiability tasks and concurrency
tasks, tests their advantages by experiments, and carries out their mathematical proof. At last
all of this that we suggest is applied to power enterprise, and we provide the multi-agent
system framework.

Li Taihua(Computer Application Technology)
Directed by vice prof. Meng Jianliang
KEY WORDS: non-normal modal operator, BDI semantic, marginal allocation,
verifiability task, concurrency task
目 录
中文摘要
英文摘要
第一章 引 言