ubiDSS:一个基于多智能体的具有上下文感知的前瞻性决策支持系统框架

O. Kwon, Sungchul Choi, H. Lee, Keedong Yoo
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引用次数: 4

摘要

泛在计算环境的出现改变了决策支持系统(DSS)等商业信息系统的服务体系结构。我们的目的是描述决策能力和上下文感知计算如何共同用于建立无处不在的应用。为此,提出了一种改进的决策支持系统范式:CKDDM(上下文-知识-对话-数据模型)。在CKDDM范式下,一个泛在决策支持系统(ubiDSS)的框架被描述为其中的子系统。为了证明ubiDSS的可行性,开发了一个原型CAMA-myOpt(上下文感知的多智能体系统-我的优化)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ubiDSS: a framework of multi-agent based proactive decision support system with context-awareness
The emergence of ubiquitous computing environment changes the service architecture of business information systems such as decision support system (DSS). Our aim is to describe how the decision-making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM (context-knowledge-dialogue-data-model) is proposed. Under the CKDDM paradigm, a framework of ubiquitous decision support systems (ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype, CAMA-myOpt (context-aware multiagent system - my optimization), has been developed.
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