Abstract
The existence of ‘general intelligence’ or ‘g’ has long been the subject of controversy. Recent work suggests that direct investigation of the neural basis for g may break the deadlock and that a specific region of the lateral frontal cortex underpins performance in novel problem solving and other tasks with high g correlation. As a contribution to developing a model of g in terms of component frontal functions we present an early version of a theory of the evolution of a universal problem solver represented in specific neuronal circuitry in the frontal cortex. The theory draws on concepts derived from research on ANNs.
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Wallace, J.G., Bluff, K. (2001). ANNs and the Neural Basis for General Intelligence. In: Mira, J., Prieto, A. (eds) Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence. IWANN 2001. Lecture Notes in Computer Science, vol 2084. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45720-8_97
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DOI: https://doi.org/10.1007/3-540-45720-8_97
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