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What Can AI Get from Neuroscience?

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50 Years of Artificial Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4850))

Abstract

The human brain is the best example of intelligence known, with unsurpassed ability for complex, real-time interaction with a dynamic world. AI researchers trying to imitate its remarkable functionality will benefit by learning more about neuroscience, and the differences between Natural and Artificial Intelligence. Steps that will allow AI researchers to pursue a more brain-inspired approach to AI are presented. A new approach that bridges AI and neuroscience is described, Embodied Cultured Networks. Hybrids of living neural tissue and robots, called hybrots, allow detailed investigation of neural network mechanisms that may inform future AI. The field of neuroscience will also benefit tremendously from advances in AI, to deal with their massive knowledge bases and help understand Natural Intelligence.

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Authors and Affiliations

  1. Laboratory for Neuroengineering, Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr NW, Atlanta, GA, 30332-0535, USA

    Steve M. Potter

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  1. Steve M. Potter
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Max Lungarella Fumiya Iida Josh Bongard Rolf Pfeifer

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Potter, S.M. (2007). What Can AI Get from Neuroscience?. In: Lungarella, M., Iida, F., Bongard, J., Pfeifer, R. (eds) 50 Years of Artificial Intelligence. Lecture Notes in Computer Science(), vol 4850. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77296-5_17

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  • DOI: https://doi.org/10.1007/978-3-540-77296-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77295-8

  • Online ISBN: 978-3-540-77296-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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