Agent Autonomy and Locus of Responsibility for Team Situation Awareness

E. Lagerstedt, M. Riveiro, Serge Thill
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引用次数: 2

Abstract

Rapid technical advancements have led to dramatically improved abilities for artificial agents, and thus opened up for new ways of cooperation between humans and them, from disembodied agents such as Siris to virtual avatars, robot companions, and autonomous vehicles. It is therefore relevant to study not only how to maintain appropriate cooperation, but also where the responsibility for this resides and/or may be affected. While there are previous organisations and categorisations of agents and HAI research into taxonomies, situations with highly responsible artificial agents are rarely covered. Here, we propose a way to categorise agents in terms of such responsibility and agent autonomy, which covers the range of cooperation from humans getting help from agents to humans providing help for the agents. In the resulting diagram presented in this paper, it is possible to relate different kinds of agents with other taxonomies and typical properties. A particular advantage of this taxonomy is that it highlights under what conditions certain effects known to modulate the relationship between agents (such as the protégé effect or the "we"-feeling) arise.
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代理自主性与团队情境意识的责任点
快速的技术进步大大提高了人工智能体的能力,从而为人类和它们之间的合作开辟了新的方式,从像Siris这样的无实体智能体到虚拟化身、机器人伴侣和自动驾驶汽车。因此,不仅要研究如何保持适当的合作,而且要研究这种合作的责任在哪里和(或)可能受到影响。虽然以前有组织和分类的代理和人工智能研究分类,高度负责的人工代理的情况很少被涵盖。在这里,我们提出了一种基于这种责任和智能体自主性对智能体进行分类的方法,它涵盖了从人类从智能体获得帮助到人类向智能体提供帮助的合作范围。在本文给出的结果图中,可以将不同类型的代理与其他分类法和典型属性关联起来。这种分类法的一个特别的优点是,它突出了在什么条件下会产生某些已知的调节代理之间关系的效应(例如原 效应或“我们”的感觉)。
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