Given the empirical shift toward viewing the brain as a strongly interactive, largely analogue system, the claim that the brain is a general‑purpose symbol‑manipulating device that operates like a digital computer must be treated as an empirical hypothesis that has 'had its day'; current biological evidence does not support arguments for artificial intelligence, and the contrast between brain interactivity and machine non‑interactivity in fact counts against AI based on biological analogy.
By Hubert L. Dreyfus, from What Computers Can't Do
Key Arguments
- After reviewing von Neumann, synaptic research, Lettvin, and Rosenblith, Dreyfus concludes: 'Thus the view that the brain as a general-purpose symbol-manipulating device operates like a digital computer is an empirical hypothesis which has had its day.'
- He asserts that 'No arguments as to the possibility of artificial intelligence can be drawn from current empirical evidence concerning the brain,' denying that biology now offers positive support for AI’s digital‑brain analogy.
- He goes further, suggesting that what biology does show is actually unfavorable to AI’s prospects: 'In fact, the difference between the "strongly interactive" nature of brain organization and the noninteractive character of machine organization suggests that insofar as arguments from biology are relevant, the evidence is against the possibility of using'—where the unfinished sentence points toward using computer‑like architectures to model intelligence.
- The emphasis on 'strongly interactive' neural organization contrasted with the 'noninteractive character of machine organization' underscores a deep structural mismatch between brains and current computers.
Source Quotes
Detailed comparisons of the organization of computer systems and brains would prove equally frustrating and inconclusive. 7 Thus the view that the brain as a general-purpose symbol-manipulating device operates like a digital computer is an empirical hypothesis which has had its day. No arguments as to the possibility of artificial intelligence can be drawn from current empirical evidence concerning the brain.
7 Thus the view that the brain as a general-purpose symbol-manipulating device operates like a digital computer is an empirical hypothesis which has had its day. No arguments as to the possibility of artificial intelligence can be drawn from current empirical evidence concerning the brain. In fact, the difference between the "strongly interactive" nature of brain organization and the noninteractive character of machine organization suggests that insofar as arguments from biology are relevant, the evidence is against the possibility of using
No arguments as to the possibility of artificial intelligence can be drawn from current empirical evidence concerning the brain. In fact, the difference between the "strongly interactive" nature of brain organization and the noninteractive character of machine organization suggests that insofar as arguments from biology are relevant, the evidence is against the possibility of using
Key Concepts
- Thus the view that the brain as a general-purpose symbol-manipulating device operates like a digital computer is an empirical hypothesis which has had its day.
- No arguments as to the possibility of artificial intelligence can be drawn from current empirical evidence concerning the brain.
- In fact, the difference between the "strongly interactive" nature of brain organization and the noninteractive character of machine organization suggests that insofar as arguments from biology are relevant, the evidence is against the possibility of using
Context
Closing of 'The Biological Assumption' section, where Dreyfus synthesizes the empirical and conceptual critiques to reject the brain‑as‑digital‑symbol‑system view and to argue that biology, if anything, undermines rather than supports classical AI’s optimism.