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Autonomy Without Independence: Animal Training as a Model for Robot Design

机译:没有独立性的自治:动物训练作为机器人设计的模型

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A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictability, which is incompatible with agency. The current robot models - behavior based and artificial intelligence -have not been effective at implementing the classic autonomous robot model due to limitations in their definitions. The artificial intelligence model cannot deal with unpredictable environments, and neither model directly includes the concept of agency. Animal training as a model for robotics has the potential to avoid these problems. Animal training has several advantages. It has an inherent model of agency. Goals and behavior are formally separated into human goals and animal behavior. The animal is autonomous, requiring conversation between human and animal, but it is not an independent entity. A robot designed using this model is an articulate machine, programmed as an agent for the user.
机译:经典的自主机器人是开放,不可预测的环境的自主代理。这样的代理本质上是自治的,但不是独立的。独立意味着不可预测性,这与代理不兼容。由于其定义的局限性,当前的机器人模型-基于行为和人工智能-在实现传统的自主机器人模型方面并不有效。人工智能模型无法应对不可预测的环境,而且两个模型都没有直接包含代理的概念。动物训练作为机器人技术的模型有可能避免这些问题。动物训练有几个优点。它具有代理的固有模式。目标和行为被正式分为人类目标和动物行为。动物是自治的,需要人与动物之间的对话,但它不是独立的实体。使用此模型设计的机器人是铰接式机器,被编程为用户的代理。

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