Abstract
Cognitive modelers attempting to explain human intelligence share a puzzle with artificial intelligence researchers aiming to create computers that exhibit human-level intelligence: how can a system composed of relatively unintelligent parts (such as neurons or transistors) behave intelligently? I argue that although cognitive science has made significant progress towards many of its goals, that solving the puzzle of intelligence requires special standards and methods in addition to those already employed in cognitive science. To promote such research, I suggest creating a subfield within cognitive science called intelligence science and propose some guidelines for research addressing the intelligence puzzle.
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© 2012 ATLANTIS PRESS
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Cassimatis, N.L. (2012). Artificial Intelligence and Cognitive Modeling Have the Same Problem. In: Wang, P., Goertzel, B. (eds) Theoretical Foundations of Artificial General Intelligence. Atlantis Thinking Machines, vol 4. Atlantis Press, Paris. https://doi.org/10.2991/978-94-91216-62-6_2
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DOI: https://doi.org/10.2991/978-94-91216-62-6_2
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