6 resultados para KQML
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本文首先分析了基于 KQML会话的 Multi- Agent系统 ( MAS)构成及其特点 ,然后提出了基于 CORBA、KQML的合同网协议 ( CNP)系统模型及 Agent通信模型 ,并针对此合同网模型 ,结合调度系统实例分析了其中 KQML语言的形式化表达方式
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KQML是目前多智能代理系统中广泛采用的通讯规范之一,它规定了标准格式来支持代理间的实时通讯。本文从理论和技术的角度阐述了KQML规范的内容、功能和基本结构,并把KQML规范应用在基于智能代理技术的CAPP系统中,圆满解决了系统的通讯问题,加强了系统的灵活性和稳定性。
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Postprint
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本文从现代供应链管理概念及要求出发 ,指出协调与合作在供应链管理中的重要作用 ,应用分布式人工智能理论及分析方法 ,提出了基于多 agent的供应链管理结构 ,定义了各功能agent的作用和职能 ,研究了基于多 agent的供应链管理协作内容、特点及解决方法 ,介绍了基于CORBA的分布式系统开发方法 ,提出了基于 CORBA规范及 KQML协议的支持供应链管理协作研究及开发的软件结构 .
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El resumen es copia del publicado con el artículo
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Agent Communication Languages (ACLs) have been developed to provide a way for agents to communicate with each other supporting cooperation in Multi-Agent Systems. In the past few years many ACLs have been proposed for Multi-Agent Systems, such as KQML and FIPA-ACL. The goal of these languages is to support high-level, human like communication among agents, exploiting Knowledge Level features rather than symbol level ones. Adopting these ACLs, and mainly the FIPA-ACL specifications, many agent platforms and prototypes have been developed. Despite these efforts, an important issue in the research on ACLs is still open and concerns how these languages should deal (at the Knowledge Level) with possible failures of agents. Indeed, the notion of Knowledge Level cannot be straightforwardly extended to a distributed framework such as MASs, because problems concerning communication and concurrency may arise when several Knowledge Level agents interact (for example deadlock or starvation). The main contribution of this Thesis is the design and the implementation of NOWHERE, a platform to support Knowledge Level Agents on the Web. NOWHERE exploits an advanced Agent Communication Language, FT-ACL, which provides high-level fault-tolerant communication primitives and satisfies a set of well defined Knowledge Level programming requirements. NOWHERE is well integrated with current technologies, for example providing full integration for Web services. Supporting different middleware used to send messages, it can be adapted to various scenarios. In this Thesis we present the design and the implementation of the architecture, together with a discussion of the most interesting details and a comparison with other emerging agent platforms. We also present several case studies where we discuss the benefits of programming agents using the NOWHERE architecture, comparing the results with other solutions. Finally, the complete source code of the basic examples can be found in appendix.