cognitive science final review

cognitive science final review - Intro Lecture: Psych:...

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Intro Lecture : Psych : beh&cog. Mainly verbal theories. CS extends theories by testing : formal descriptions & intuitive analyses. AI : conceptual : how neurons fn, imagery tells where cog occurs. CS modeling show what neuron netwrks can accomplish. Paradigmatic approaches : Symbolic (rule based). Mostly computer program. Sub- symbolic (cnxnist). Neuronal level? Block: The Mind as the Software of the Brain : symbolic paradigm. ( mind=computer ).The computer model of the mind likens the mind to the software of the brain. Mind runs as a rule-based comp program; accepts input, output depends on nature of input. Turing test : ELIZA, Aunt Bubbles. Turing wanted to define intelligence in way applicable to humans&machines. Human judge interacts w/ human subject & comp. all 3 in diff rooms. If judge unable to tell human & comp apart, then comp intelligent. Issue: capabilities of judge. If judge knows computers, might be easier to tell them apart. Test values performance/competence. Generalization means understanding whereas memorization means nothing. Kinds of kinds : structural (H20) & functiona (mousetrap). Functional analysis : reductionism . Breaking down smthn into smaller & smaller tasks. Decomposition of a network into less intelligent capacities, ultimately primitive processors (bottom level; mechanical capacity; ex:gate). Cog sci concerned w/ what primprocessors do, not how they work. BUT in biol, whole is> than sum of parts. Computer model of mind vs biology : model unbiological but not incompatible. May not look same but can b computationally equiv. A program can adapt, but not to extent that brain can.Block’s issue w/ cnxnism: conxnism prides itself on being biologically coherent however biological fidelity rejected when it does not make computational sense. Intentionality : aboutness. Past-oriented. Intelligence : capacity. Future oriented. Can have one w/o other. Intentionality only: words on a page. Intelligence only: swamp brain; amnesia? Brain as syntactic engine driving semantic engine : summary for a rule based (symbolic) system. Syntactic engine delivers symbols, semantic engine ensures correct respnse. Language of thought : thoughts represented in a language (mentalese) which allows complex thoughts to be built up by combining simpler thoughts in various ways. LOT supposed to exist at the cognitive level, (level of thoughts & concepts). args for&against. For : can think thoughts never thought. Infinite # of possible sentences. Systemacity (thoughts having a systematic relationship to eachother) proves that there IS a LOT. But this may only apply to conscious thought. Against : 1:infinite # of beliefs cant be written in head. Block argues we don’t have infinite # of beliefs. 2:Chess playing program -get queen out early? Belief w/o representation 3.(opp of 2) sister in Cleveland.
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This note was uploaded on 02/14/2011 for the course PSYC 532 taught by Professor Shultz during the Spring '10 term at McGill.

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cognitive science final review - Intro Lecture: Psych:...

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