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Lectures on the Philosophy of Mind by J.R. Searle, 1998 - Coggle Diagram
Lectures on the Philosophy of Mind by J.R. Searle, 1998
- Descartes: psycho-physical dualism
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:question:Problem areas
- Mind-body interaction, causality
- Free will in body determinism
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- Skepticism, knowledge of the external
- Sleep, possibility of unconsciousness
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Behaviourism
Logical Behaviourism: equivalence of meaning btw statements about the mind and statements about behaviour
OBJECTIONS:
:red_cross:circularity, e.g. both beliefs and desired can be analyzed only presupposing the other
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:red_cross:common sense objection: we have subjective conscious mental states that are different from our behaviour
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Functionalism defines mental states in terms of causal relations: external input > internal causality > causal output
Black Box Functionalism: brain as black box, no theory of internal processing
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:check: Advantages: considers causality, explains both beliefs and desires
- Strong AI or Computer Functionalism
Theoretical Base
A. Turing Machines
abstract, mathematical notion. practical example: modern computer
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B. Algorithm = 'a systematic procedure for solving a problem in a finite number of steps' e.g. computer programs
C. Church's Thesis: any algorithm can be implemented in a Turing machine; for every computable fx there is a Turing machine that can compute that fx
D. Turing's Theorem: there is a Universal Turing Machine which can simulate the behaviour of any other Turing machine
E. The Turing Test: if an expert cannot distinguish the behaviour of a computer from that of human, then the machine has the same cognitive abilities as a human
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:check:counter-refutation - system's reply: the man in the Chinese room does not understand Chinese, but the room does
- The Chinese Room (CR): intentionality and its difference from consciousness
basic argument structure
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D. Therefore, programs are not minds
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connectionist machines (NNs), difference from von Neumann machines
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Could a machine think?
if machine = physical system performing operations, then brain = machine, but this is not what is meant
thinking artifacts: if we could duplicate the causal powers of a brain, we would produce a thinking machine. artificial brain would be like artificial heart
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CR show that implementing the program by itself is not sufficient for thinking. The program is not constitutive of thinking.
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Important: to distinguish observer-independent and observer-relative features. Mind/matter or machine/nature distinctions are invalid
- Cognitivism. Is the brain a digital computer?
Strong AI vs Weak AI
Weak AI is the view that cognitive processes like other biological phenomena can be simulated computationally
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Intermediate position: mental processes, though not constituted by computation, nonetheless have computational structure. = cognitivism
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consequences
Cognitivism is ill-defined. Ambiguous question, 2 possible meanings
a) is the brain intrinsically a digital computer? - nothing is intrinsically a digital computer. Something is a computer only relative to a computational interpretation
b) can the brain be assigned a computational interpretation? -- Yes, a computational interpretation can be assigned to anything.
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- Some solutions to Descartes' problems
- The Structure of Consciousness
- How to study consciousness scientifically
- Intentionality: how the mind works
- The structure of action & perception
- The construction of social reality