feature of the Langguage of nought nyPothesis is that It explains how a Turing machine can learn a language. extends Putnam's functionalism. relates spoken language to computation. explains how we learn word meanings. Question 18 According to the computational model of the mind, it is possible for physical entities (like human beings) to think because brain states can function as symbols. brain states are physical states. O mental states can be reduced to states of the brain. computers can support intelligence.

Ciccarelli: Psychology_5 (5th Edition)
5th Edition
ISBN:9780134477961
Author:Saundra K. Ciccarelli, J. Noland White
Publisher:Saundra K. Ciccarelli, J. Noland White
Chapter1: The Science Of Psychology
Section: Chapter Questions
Problem 1TY
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Question 17
One feature of the Language of Thought hypothesis is that it
explains how a Turing machine can learn a language.
extends Putnam's functionalism.
relates spoken language to computation.
explains how we learn word meanings.
Question 18
According to the computational model of the mind, it is possible for physical entities
(like human beings) to think because
brain states can function as symbols.
brain states are physical states.
mental states can be reduced to states of the brain.
O computers can support intelligence.
Transcribed Image Text:Question 17 One feature of the Language of Thought hypothesis is that it explains how a Turing machine can learn a language. extends Putnam's functionalism. relates spoken language to computation. explains how we learn word meanings. Question 18 According to the computational model of the mind, it is possible for physical entities (like human beings) to think because brain states can function as symbols. brain states are physical states. mental states can be reduced to states of the brain. O computers can support intelligence.
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