CGSC 1001 Lecture Notes - Lecture 6: David Buss, Color Constancy, Sistema Central
24 Mar 2017
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Document Summary
Intelligent systems (including animals and computers) are governed by representations (pylyshyn 1999) In order to predict and explain general patterns of behaviour we can appeal to three different levels: Why does it take longer to calculate large numbers vs. small ones (symbolic level) How does the calculator know the logarithm of the number i punch in? (semantic level) Why are parts of the numbers missing on the led display? (physical level) When the answer to an arithmetic problem is too long to fit inthe display window, why does the form of the answer change so that some of the digits are left off? (architectural level) Why does it take longer to calculate large numbers vs small ones (symbiotic level) Answering this question involves more than just making predictions about what behaviour will result from a given input. Requires giving a physical description of the mind. Requires specifying form in which representations are encoded.
