Pezzulo Giovanni, Parr Thomas, Cisek Paul, Clark Andy, Friston Karl
Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
Nuffield Department of Clinical Neurosciences, University of Oxford.
Trends Cogn Sci. 2024 Feb;28(2):97-112. doi: 10.1016/j.tics.2023.10.002. Epub 2023 Nov 15.
Prominent accounts of sentient behavior depict brains as generative models of organismic interaction with the world, evincing intriguing similarities with current advances in generative artificial intelligence (AI). However, because they contend with the control of purposive, life-sustaining sensorimotor interactions, the generative models of living organisms are inextricably anchored to the body and world. Unlike the passive models learned by generative AI systems, they must capture and control the sensory consequences of action. This allows embodied agents to intervene upon their worlds in ways that constantly put their best models to the test, thus providing a solid bedrock that is - we argue - essential to the development of genuine understanding. We review the resulting implications and consider future directions for generative AI.
关于有感知行为的主流观点将大脑描述为生物体与世界互动的生成模型，这与生成式人工智能（AI）的当前进展有着引人入胜的相似之处。然而，由于它们涉及到有目的的、维持生命的感觉运动互动的控制，生物体的生成模型与身体和世界有着千丝万缕的联系。与生成式AI系统学习的被动模型不同，它们必须捕捉并控制行动的感官后果。这使得具身智能体能够以不断检验其最佳模型的方式干预它们的世界，从而提供了一个坚实的基础——我们认为这对于真正理解的发展至关重要。我们回顾了由此产生的影响，并考虑了生成式AI的未来发展方向。
