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On the possible Computational Power of the Human Mind

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.

preprint2007arXivOpen access
Hector ZenilFrancisco Hernandez-Quiroz
Neural and Evolutionary ComputingArtificial IntelligenceComputational Complexity
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Open access2 authors3 topics
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Hector ZenilFrancisco Hernandez-Quiroz

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