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The Computer Metaphor of Mind

The Computer Metaphor of Mind. By Aaron Clarke. The Computer Metaphor of Mind. What is the computer metaphor of mind? How did this metaphor come about? Key players: George A. Miller – Language and the computer metaphor of mind McCulloch – Pitts – Neural Networks. Concluding remarks.

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The Computer Metaphor of Mind

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  1. The Computer Metaphor of Mind By Aaron Clarke

  2. The Computer Metaphor of Mind • What is the computer metaphor of mind? • How did this metaphor come about? • Key players: • George A. Miller – Language and the computer metaphor of mind • McCulloch – Pitts – Neural Networks. • Concluding remarks

  3. The Computer Metaphor of Mind Q: What is the computer metaphor of mind? A: The brain is a computer.

  4. How Did This Metaphor Come About? • Key Players: • George A. Miller – Language and the computer metaphor of mind • McCulloch – Pitts – Neural Networks.

  5. George A. Miller • Started off as a behaviourist. • Interested in information theory. • Helped develop the idea that the similarities between humans and machines were real

  6. George A. Miller

  7. Language • The rules of language are analogous to a computer program. • The set of universal rules in grammar is analogous to the operating system of the human mind. • Mind was thus necessary to explain language. • Minds operate according to a set of universal logical rules. • A theory of mind could be modeled in the form of a computer program.

  8. McCulloch & Pitts – Neural Networks

  9. Warren McCulloch • A neuropsychiatrist. • Provided the biological information necessary to appropriately model the behaviours of neurons.

  10. Walter Pitts • A mathematician. • Provided the math necessary to model the behaviour of neurons.

  11. Body Axon Model Neuron

  12. Nerve Properties

  13. Nerve Properties

  14. Logical Operations “If A then B” Neuron A Neuron B

  15. Logical Operations “If A or B then C” Neuron A Neuron B Neuron C

  16. Logical Operations “If A and B then C” Neuron A Neuron C Neuron B

  17. Logical Operations Neuron A “If A and not B then C” Neuron C Neuron B

  18. Summary • The functional relationships between neurons were represented in terms of Boolean logic. • The mental functions of reasoning could be seen as being embodied in the physiology of the brain.

  19. Concluding Remarks • McCulloch and Pitts’s networks were possible neural networks, and were useful models. • Their model is a useful tool for rigorous symbolic treatment of known neural nets and provides an easy method for constructing hypothetical neural networks with known properties.

  20. The End

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