Agent's autonomy adjustment via situation awareness

Interactions between autonomous agents (humans and software) are necessary to increase the system's awareness, support agents' decision-making abilities and subsequently reduce the risks of failure. The challenge, however, is to formulate a mechanism that specifies when an agent or a human...

全面介紹

Saved in:
書目詳細資料
Main Authors: Mostafa S.A., Ahmad M.S., Tang A.Y.C., Ahmad A., Annamalai M., Mustapha A.
其他作者: 37036085800
格式: Conference Paper
出版: Springer Verlag 2023
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:Interactions between autonomous agents (humans and software) are necessary to increase the system's awareness, support agents' decision-making abilities and subsequently reduce the risks of failure. The challenge, however, is to formulate a mechanism that specifies when an agent or a human should take the initiative to interact. In this paper, we propose a Situation Awareness Assessment (SAA) model of autonomy adjustment with situation awareness capabilities in a decentralized environment. The SAA model systematizes the interactions to assist agents' decision-making and improve the systems' performance. The model inspects if an agent has the required awareness of a situation to be satisfactorily autonomous, otherwise, it intervenes the agent with feedback about the situation. An example scenario demonstrates the SAA ability to facilitate improved autonomous behavior in agents. © 2014 Springer International Publishing Switzerland.