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Reminder: Definition of Computation
Symbol system Symbol shapes arbitrary Symbol manipulations (algorithms) all syntactic (based on shape, not meaning) Implementation-independent Semantically interpretable (meaningful)
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“Strong AI” (“Computationalism” or “Cognitivism”
“Mind is a computer program” (I.e., cognition is computation) “Brain is Irrelevant” (I.e., computation is implementation-independent) Turing Test is Decisive (I.e., the T2-passing symbol system has a mind)
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Chinese Room Argument Suppose SS is the T2-passing symbol system (passes in Chinese, so has a mind, understands Chinese) Because computation is implementation-independent, every implementation of SS understands Chinese Searle implements SS -- but fails to understand Chinese
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What went wrong? System Reply: “Searle doesn’t understand, the system does” (but Searle is the system!) Turing Test is at fault (T2 perhaps, but T3?) Symbol Grounding Problem (symbols and T2 are not enough: symbol meanings must be grounded via T3
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The Symbol Grounding Problem
Chinese/Chinese Dictionary-Go-Round Grounding symbols in T3 (robotic) capacity Neural nets and other nonsymbolic (analog, dynamic) functions Hybrid symbolic/nonsymbolic systems Categorical Perception (sensorimotor “toil” Dictionary Grounding (symbolic “theft”)
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Dennett on Robotics and Reverse-Engineering
Dennett is a behaviourist/instrumentalist For him, mental capacities are just behavioural capacities Hence TT capacity = mind Reverse-engineering the mind is reverse-engineering its behavioural capacities Robotics is the way to design and test theories of mind
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Critiques of connectionism
Cognition may not be just computation, but is it just connectionism either? Pinker/Prince’s critique of Perceptron past-tense learning Pylyshyn/Fodor’s critique of “systematicity”
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Chalmers on Computation
What is computation for Chalmers? “Reconfiguring hardware” via software What can be reconfigured into what, via software? Can a computer be reconfigured into a plane? Why should thinking (cognition) differ from flying?
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