Abstract
In this paper, we want to farther advance the parallelism between models of the brain and computing machines. We want to apply the same idea underlying neuroimaging techniques to electronic computers. Applying this parallelism, we can address these two questions: (1) how far we can go with neuroimaging in understanding human mind? (foundational perspective); (2) can we understand what computers “think”? (applicative perspective). Our experiments demonstrate that it is possible to believe that both questions have positive answers.
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Zanzotto, F.M., Croce, D. (2009). Reading What Machines “Think”. In: Zhong, N., Li, K., Lu, S., Chen, L. (eds) Brain Informatics. BI 2009. Lecture Notes in Computer Science(), vol 5819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04954-5_26
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DOI: https://doi.org/10.1007/978-3-642-04954-5_26
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