A/sup 2/:面向多智能体约束满足问题的面向智能体的编程体系结构

E. Freeman
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引用次数: 10

摘要

采用面向主体的编程比喻,将约束逻辑编程系统(如CLP(R))的分析能力扩展到多主体约束满足问题领域。由此产生的实现提供了一组系统原语,这些原语在基本层面上支持私有知识库的维护、代理间通信、约束驱动的多代理共识形成、通过“克隆”实现的功能继承和继承格搜索优化机制的选择,使知识工程师能够在速度与灵活性、功能依赖与独立性之间进行权衡。提出了面向代理的编程系统的一般体系结构,并总结了其CLP(R)实现的一些更突出的方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A/sup 2/: an agent-oriented programming architecture for multi-agent constraint satisfaction problems
An agent-oriented programming metaphor is used to extend the analytic capabilities of a constraint logic programming system, such as CLP(R), to the domain of multi-agent constraint satisfaction problems. The resulting implementation provides a set of system primitives, which support at a rudimentary level, the maintenance of private knowledge bases, inter-agent communications, constraint driven multi-agent consensus formation, functional inheritance via 'cloning' and a choice of inheritance lattice search optimization mechanisms, allowing knowledge engineers to make speed vs. flexibility and functional dependence vs. independence trade-offs. A general architecture for agent-oriented programming systems is presented, and some of the more salient aspects of its CLP(R) implementation are summarized.<>
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