Symbolic Artificial Intelligence and Numeric Artificial Neural Networks: Towards A Resolution of the Dichotomy
作者： Vasant Honavar
DOI: 10.1007/978-0-585-29599-2_11
关键词: Computer science 、 Von Neumann architecture 、 Turing machine 、 Theory of computation 、 Computational intelligence 、 Artificial intelligence 、 Artificial neural network 、 Turing 、 Symbolic artificial intelligence 、 Artificial Intelligence System
摘要: The attempt to understand intelligence entails building theories and models of brains minds, both natural as well artificial. From the earliest writings India Greece, this has been a central problem in philosophy. advent digital computer 1950’s made concern scientists (Turing, 1950). parallel development theory computation (by John von Neumann, Alan Turing, EmilPost, Alonzo Church, Charles Kleene, Markov others) provided new set tools with which approach — through analysis, design, evaluation computers programs that exhibit aspects intelligent behavior such ability recognize classify patterns; reason from premises logical conclusions; learn experience.
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