When you meet a delivery robot in a narrow street it stops to let you pass. It was built to give you precedence. What happens if you run into a robot that was not trained by or for humans? The existence in our environment of robots which do not abide by human behavioral rules and social systems might sound odd, but is a case we may encounter in the near future. In this paper, self-taught robots are artificial embodied agents that, thanks for instance to AI learning techniques, manage to survive in the environment without embracing behavioral or judgment rules given and used by humans. The paper argues that our ontological systems are not suitable to cope with artificial agents. The arguments are speculative rather than empirical, and the goal is to drive attention to new ontological challenges.

中文翻译：

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与自学式机器人同居的本体论挑战

当您在狭窄的街道上遇到送货机器人时，它会停下来让您通过。它旨在为您提供优先权。如果您遇到未经人类培训或未经人类培训的机器人会发生什么？在我们的环境中存在不遵守人类行为规则和社会制度的机器人听起来可能很奇怪，但是在不久的将来我们可能会遇到这种情况。在本文中，自学式机器人是人工实现的代理，例如，借助AI学习技术，它们可以在环境中生存，而无需拥抱人类给出和使用的行为或判断规则。该论文认为，我们的本体系统不适合应付人工代理。这些论点只是推测性的，而不是经验性的，目的是促使人们关注新的本体论挑战。