Abstract
Cognitive science has revealed that the feature of human thinking is not fully logical but symbolic looking. Brain science has clarified that human brain can selectively activate its neural networks. Brain activates and combines proper functional neural areas dynamically in response to various types of problem. Based on this understanding, we have proposed functional parts combination (FPC) model. In this paper, we describe a possible computational modeling of discrete optimization processing in brain by computationally remodeling the FPC model.
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© 2005 Springer-Verlag Berlin Heidelberg
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Ogawa, A., Omori, T. (2005). Computational Modeling of Symbolic Looking Processing in Brain. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_61
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DOI: https://doi.org/10.1007/3-540-32391-0_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25055-5
Online ISBN: 978-3-540-32391-4
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