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| Title: | ON THE POSSIBLE COMPUTATIONAL POWER OF THE HUMAN MIND
Forthcoming in: Carlos Gershenson, Diederik Aerts, and Bruce Edmonds (eds.) Philosophy and Complexity: Essays on Epistemology, Evolution, and Emergence, World Scientific, 2006. |
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| DOI No: | 10.1142/9789812707420_0020 | |
| Source: | WORLDVIEWS, SCIENCE AND US Philosophy and Complexity (pp 315-337) |
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| Author(s): | HECTOR ZENIL
Math Department, Faculty of Science, National University of Mexico (UNAM), USA FRANCISCO HERNANDEZ-QUIROZ Math Department, Faculty of Science, National University of Mexico (UNAM), USA |
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| Abstract: | The aim of this paper is to address the question: Can an artificial neural network (ANN) model be used as a possible characterization of the power of the human mind? We will discuss what might be the relationship between such a model and its natural counterpart. A possible characterization of the different power capabilities of the mind is suggested in terms of the information contained (in its computational complexity) or achievable by it. Such characterization takes advantage of recent results based on natural neural networks (NNN) and the computational power of arbitrary artificial neural networks (ANN). The possible acceptance of neural networks as the model of the human mind's operation makes the aforementioned quite relevant. | |
| Full Text: | View full text in PDF format (1226KB) | |
| TOC: | Back to Table of Contents | |
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