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Computational Theory of Mind [Kõva köide]

(Universiteit van Tilburg, The Netherlands), (University of Missouri, St Louis)
  • Formaat: Hardback, 75 pages, kõrgus x laius x paksus: 235x160x12 mm, kaal: 276 g, Worked examples or Exercises
  • Sari: Elements in Philosophy of Mind
  • Ilmumisaeg: 07-Dec-2023
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1009454072
  • ISBN-13: 9781009454070
Teised raamatud teemal:
  • Formaat: Hardback, 75 pages, kõrgus x laius x paksus: 235x160x12 mm, kaal: 276 g, Worked examples or Exercises
  • Sari: Elements in Philosophy of Mind
  • Ilmumisaeg: 07-Dec-2023
  • Kirjastus: Cambridge University Press
  • ISBN-10: 1009454072
  • ISBN-13: 9781009454070
Teised raamatud teemal:
This Element supports the Computational Theory of Mind by its contribution to solving the mind-body problem, its ability to explain mental phenomena, and the success of computational modelling and artificial intelligence.

The Computational Theory of Mind says that the mind is a computing system. It has a long history going back to the idea that thought is a kind of computation. Its modern incarnation relies on analogies with contemporary computing technology and the use of computational models. It comes in many versions, some more plausible than others. This Element supports the theory primarily by its contribution to solving the mind-body problem, its ability to explain mental phenomena, and the success of computational modelling and artificial intelligence. To be turned into an adequate theory, it needs to be made compatible with the tractability of cognition, the situatedness and dynamical aspects of the mind, the way the brain works, intentionality, and consciousness.

Arvustused

'The book is an excellent introduction to computational theories of mind it will be a valuable resource for more advanced students and faculty exploring CTM.' Jordan Dopkins, Metascience

Muu info

This Element describes the most careful and up-to-date introduction to the computational theory of mind.
1. Introduction;
2. Historical background;
3. Computing systems;
4. Computation in physical systems;
5. Why believe CTM;
6. Challenges to CTM;
7. Conclusions; References.