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...
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| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Language: | English |
| Published: |
2017
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| Subjects: | |
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| Summary: | 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. |
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