认知情境控制的框架

G. Jakobson
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引用次数: 1

摘要

在生物医学和卫生保健系统、智能交通、灾害情况管理系统等领域出现了一类新的复杂应用,对这些系统的控制方法提出了新的要求。这些应用程序的核心是需要理解动态环境中发生的复杂情况的含义,并根据这些情况采取行动,以便达到某些目标情况。情境控制行为往往面临难以定义的目标情境,缺乏控制最优性。尽管情境意识等理论的重要性已得到充分认识,但我们对情境控制机制的理解仍未得到广泛接受。我们认为,通过人类认知能力来增强情境控制,为组织复杂系统的目标导向行为提供了更有效的机制。本文提出了认知情境控制的概念框架,并讨论了所提出的架构的主要组成部分的细节,包括情境识别、消极情境控制反馈和行动计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for cognitive situation control
The emergence of a new class of complex applications in bio-medical and health-care systems, intelligent transportation, disaster situation management systems and others, has defined new requirements to the methods of control of these systems. Central to those applications is the requirement to understand the meaning of complex situations happening in dynamic environments, and to act based upon those situations so that certain goal situations will be reached. Often actions of situation control face hardly definable goal situations and lack of control optimality. Although the importance of theories such as situation awareness has been well recognized, we are still away from a broadly accepted understanding of the mechanisms of situation control. We argue that augmenting situation control with capabilities exhibited by human cognition provides more effective mechanisms for organizing goal-directed behavior of complex systems. The paper presents conceptual framework of cognitive situation control and discusses details of the main components of the proposed architecture, including situation recognition, negative situation control feedback, and action planning.
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