During my PhD I nearly lost my mind thinking about why we build computational models in cognitive science. {thread}
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The modeling communities emerged around several architectures (ACT, Soar etc.) and paradigms (air traffic control, mental rotation etc.) in response to what gave people publications and a chance for tenured employment, not so much wrt what would lead to intellectual breakthroughs
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hah! This is actually a better answer to the question I got today which prompted this thread. Thanks! cc
@O_Vardal
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Functionalist?
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Computational modelers and other engineers compress the world into causal models, a model captures functional relationships that can be implemented (= are efficiently computable). Neuroscientists and psychologists have room for sympathetic magic ("mirror neurons", "emergence"...)
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