Situation reasoning for an adjustable autonomy system

IF 2.2 Q3 COMPUTER SCIENCE, CYBERNETICS International Journal of Intelligent Computing and Cybernetics Pub Date : 2012-06-01 DOI:10.1108/17563781211231552

Yin Li-li, Zhang Rubo, Gu Hengwen

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引用次数: 10

Abstract

Purpose – The purpose of this paper is to provide a more capable and holistic adjustable autonomy system, involving situation reasoning among all involved information sources, to make an adjustable autonomy system which knows what the situation is currently, what needs to be done in the present situation, and how risky the task is in the present situation. This will enhance efficiency for calculating the level of autonomy.Design/methodology/approach – Situation reasoning methodologies are present in many autonomous systems which are called situation awareness. Situation awareness in autonomous systems is divided into three levels, situation perception, situation comprehension and situation projection. Situation awareness in these systems aims to make the tactical plans cognitive, but situation reasoning in adjustable autonomous systems aim to communicate mission assessments to unmanned vehicle or humans. Thus, in solving this problem, it is important to design a new situation reasoning module for the adju...

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可调自主系统的情境推理

目的-本文的目的是提供一个更有能力和更全面的可调节自治系统，在所有涉及的信息源中进行情境推理，使一个可调节的自治系统知道当前的情况是什么，在当前的情况下需要做什么，以及在当前的情况下任务的风险有多大。这将提高计算自治程度的效率。设计/方法论/方法——情境推理方法存在于许多被称为情境感知的自主系统中。自主系统中的态势感知分为态势感知、态势理解和态势投射三个层次。这些系统中的态势感知旨在使战术计划具有认知性，而可调节自主系统中的态势推理旨在将任务评估传达给无人驾驶车辆或人类。因此，在解决这一问题时，设计一种新的情境推理模块是非常重要的。

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来源期刊

International Journal of Intelligent Computing and Cybernetics COMPUTER SCIENCE, CYBERNETICS-

CiteScore

6.80

自引率

4.70%

发文量