基于Multi-Agent的生产过程建模与仿真技术研究

某些流程行业由于采用按配方进行分组加工的模式组织生产,在排产时存在多条路径调度优化的问题,应用一般的优化算法对于现场在线调度难以给出满意结果,而基于Agent的过程仿真在解决离散、非线性系统模拟方面有显著的优势,本文采用Agent的方法对生产过程建模,然后对方案组内的备选方案进行仿真,通过对比各方案的仿真结果找到最优的方案作为执行方案,为现场的优化排产提供决策支持。

基于多Agent制造过程的建模方法

分析了制造系统与制造过程之间的关系;论证了从过程的角度对制造进行建模更恰当;结合Agent和π演算的特点,给出Agent制造系统描述模型及基于π演算的单个Agent的BDI模型,并指出Agent和π演算结合的制造过程模型有利于进行优化目标在不同制造过程层次的分解,不论从方法的角度还是实现的角度,都适合复杂系统建模。Agent和π演算相结合可以有效分析并解决离散事件的建模与仿真中的问题。

SodaBot: A Software Agent Environment and Construction System

This thesis presents SodaBot, a general-purpose software agent user-environment and construction system. Its primary component is the basic software agent --- a computational framework for building agents which is essentially an agent operating system. We also present a new language for programming the basic software agent whose primitives are designed around human-level descriptions of agent activity. Via this programming language, users can easily implement a wide-range of typical software agent applications, e.g. personal on-line assistants and meeting scheduling agents. The SodaBot system has been implemented and tested, and its description comprises the bulk of this thesis.