Why The Mind Is Not A Computer
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Why the Mind Is Not a Computer
The equation "Mind = Machine" is false. This pocket lexicon of "neuromythology" shows why. Taking a series of key words such as calculation, language, information and memory, Professor Tallis shows how their misuse has a lured a whole generation into accepting the computational model of the mind. First of all these words were used literally in the description of the human mind. Then computer scientists applied them metaphorically to the workings of their machines. And finally, their metaphorical status forgotten, the use of the terms was called as evidence of artificial intelligence in machines and the computational nature of conscious thought.
Why the Mind Is Not a Computer
The equation "Mind = Machine" is false. This pocket lexicon of "neuromythology" shows why. Taking a series of key words such as calculation, language, information and memory, Professor Tallis shows how their misuse has a lured a whole generation into accepting the computational model of the mind. First of all these words were used literally in the description of the human mind. Then computer scientists applied them metaphorically to the workings of their machines. And finally, their metaphorical status forgotten, the use of the terms was called as evidence of artificial intelligence in machines and the computational nature of conscious thought.
Computers and Cognition: Why Minds are not Machines
Author: J.H. Fetzer
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-07
An important collection of studies providing a fresh and original perspective on the nature of mind, including thoughtful and detailed arguments that explain why the prevailing paradigm - the computational conception of language and mentality - can no longer be sustained. An alternative approach is advanced, inspired by the work of Charles S. Peirce, according to which minds are sign-using (or `semiotic') systems, which in turn generates distinctions between different kinds of minds and overcomes problems that burden more familiar alternatives. Unlike conceptions of minds as machines, this novel approach has obvious evolutionary implications, where differences in semiotic abilities tend to distinguish the species. From this point of view, the scope and limits of computer and AI systems can be more adequately appraised and alternative accounts of consciousness and cognition can be more thoroughly criticised. Readership: Intermediate and advanced students of computer science, AI, cognitive science, and all students of the philosophy of the mind.