Perspective taking is the ability to take into account what the other agent knows. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an essential ability for social interactions, including efficient cooperation, competition, and communication. Here we present our progress toward building artificial agents with such abilities. We implemented a perspective taking task inspired by experiments done with chimpanzees. We show that agents controlled by artificial neural networks can learn via reinforcement learning to pass simple tests that require some aspects of perspective taking capabilities. We studied whether this ability is more readily learned by agents with information encoded in allocentric or egocentric form for both their visual perception and motor actions. We believe that, in the long run, building artificial agents with perspective taking ability can help us develop artificial intelligence that is more human-like and easier to communicate with.

中文翻译：

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深度强化学习代理的观点采择

换位思考是考虑其他代理人所知道的事情的能力。这种技能并不是人类独有的，黑猩猩等其他动物也有这种技能。它是社会交往的必备能力，包括高效的合作、竞争和沟通。在这里，我们展示了我们在构建具有这种能力的人工智能体方面取得的进展。受到黑猩猩实验的启发，我们实施了一项换位思考任务。我们证明，由人工神经网络控制的智能体可以通过强化学习进行学习，以通过需要某些方面的观点采择能力的简单测试。我们研究了对于视觉感知和运动动作以非中心或自我中心形式编码的信息的智能体是否更容易学习这种能力。我们相信，从长远来看，构建具有观点采择能力的人工智能体可以帮助我们开发出更像人类、更容易沟通的人工智能。