利用预测神经网络生成的运动错觉也欺骗人类
Motion Illusions Generated Using Predictive Neural Networks Also Fool Humans
AI总结：
本文通过预测神经网络生成运动错觉并验证其对人类的有效性，探讨错觉运动与大脑预测能力的关系。
摘要：
为什么我们有时会将静态图像感知为在运动？视觉运动错觉一直备受关注，但尚无确切答案解释其为何有效。本文提出证据支持以下假设：错觉运动是大脑预测能力的副作用。我们提出了一种生成模型，即进化错觉生成器（EIGen），该模型基于视频预测神经网络生成新的视觉运动错觉。我们通过心理测量调查确认所构建的错觉对人类参与者有效。我们的结果支持以下假设：错觉运动可能是由于感知大脑自身的预测，而非感知眼睛传来的原始视觉输入。本文的哲学动机是引起对“动机性失败”潜力的关注，即人工系统如何像生物系统一样失败，作为人工智能和人工生命研究的有价值的出口。
英文摘要：
Why do we sometimes perceive static images as if they were moving? Visual motion illusions enjoy a sustained popularity, yet there is no definitive answer to the question of why they work. Here we present evidence in favor of the hypothesis that illusory motion is a side effect of the predictive abilities of the brain. We present a generative model, the Evolutionary Illusion GENerator (EIGen), that creates new visual motion illusions based on a video predictive neural network. We confirm that the constructed illusions are effective on human participants through a psychometric survey. Our results support the hypothesis that illusory motion might be the consequence of perceiving the brain's own predictions rather than perceiving raw visual input from the eyes. The philosophical motivation of this paper is to call attention to the untapped potential of "motivated failures", ways for artificial systems to fail as biological systems fail, as a worthy outlet for Artificial Intelligence and Artificial Life research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
