Michael Rescorla - Computational theory of mind Flashcards

Computationalism

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1
Q

CTM (Computational Theory of Mind)

A

A theory positing that the mind functions similarly to a computational system, particularly a Turing machine.

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2
Q

Neurophysical description

A

Refers to the neurophysiological properties of an organism’s brain or body.

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3
Q

Intentional description

A

Describes mental states in terms of their representational properties.

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4
Q

Turing Machines

A

Algorithm: A step-by-step procedure for solving a problem.
Turing machine: An abstract model of a computing device with infinite time and storage, manipulating symbols.
Memory Structure: Linear arrangement with infinite cells.
Processor: Moves one cell at a time, accessing memory.
States: Finite machine states defining processor behavior.
Operations: Write, erase, move left or right.
UTM (Universal Turing Machine): Can replicate any other Turing machine.

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5
Q

Artificial Intelligence

A

Mechanization of thought, examples include Deep Blue and driverless cars. AI for decision-making, such as Bayesian decision theory.

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6
Q

The Classical Computational Theory of Mind (CCTM):

A

Views mental activity as Turing-style computation. Mental processes compared to Turing machines. Differentiates from physicalist and dualist views.

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7
Q

Machine Functionalism

A

Mental states are understood as functional states within a system. Posits mental activity as implementing a probabilistic automaton.

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8
Q

The Representational Theory of Mind (RTM)

A

Mentalese is compositional. Discusses productivity and systematicity in thought.

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9
Q

Neural Networks

A

Comprise input, hidden, and output nodes. Learning involves adjusting weights. Includes feedforward and recurrent networks.

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10
Q

Relation Between Neural Networks and Classical Computation:

A

Classical computation involves rule-governed symbol manipulation, while neural networks are non-symbolic.

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11
Q

Computation and Representation:

A

Representational mental states have content that represents the world. Discusses intentional realism, eliminativism, and interpretivism.

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11
Q

Computational Neuroscience

A

Uses biologically realistic neural networks to model cognitive phenomena.

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12
Q

Computation as Formal

A

Formal-syntactic conception of computation.

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13
Q

Externalism About Mental Content

A

Mental content is partly determined by factors outside the thinker.

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14
Q

Content-Involving Computation:

A

No rigid demarcation between computational and intentional description.

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15
Q

Alternative Conceptions of Computation

A

Information-processing, function evaluation, and structuralism.

16
Q

Mechanistic Theories

A

Functional mechanisms and mechanistic explanation.