Artificial Intelligence and Brain Science: the Present and the Future Kenji Doya 1 , Yutaka Matsuo 2 1Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 2Research into Artifacts, Center for Engineering, The University of Tokyo Keyword: 人工知能 , 脳科学 , 深層学習 , 強化学習 , 内部モデル , artificial intelligence , brain science , deep learning , reinforcement learning , internal model pp.649-655
Published Date 2019/7/1
DOI https://doi.org/10.11477/mf.1416201337
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Artificial intelligence and brain science have kept a swinging relationship with opposing views: “Artificial realization of intelligence should be free from biological constraints” and “We should reverse-engineer the best existing implementation of intelligence.” In this article, we first review today's achievements of artificial intelligence and its impacts on brain and life sciences. We then discuss how progresses in brain science can contribute to future developments in artificial intelligence.

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