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Lecture 7: Cognitive Science A Necker Cube http://en.wikipedia.org/wiki/Necker_Cube
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Many phenomena look as though mental representations are what’s important, not the stimuli themselves Your mental representation determines what you ‘see’
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25 X 15 125 25 375
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the nature of concepts How do these things figure in our mental life? What’s the nature of the representation? [http://en.wikipedia.org/wiki/Dog]
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Vision – not much to work with (from http://webvision.med.utah.edu/book/part-i-foundations/simple-anatomy-of-the-retina)
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(Figure 2 from Marr & Nishihara (1978: 274)
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(from http://www.doc.gold.ac.uk/~mas02fl/MSC101/Vision/Marr.html)
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Background: we’ve been assuming the ‘classical’ model of cognitive architecture The mind works directly with mental symbolic representations of various sorts (phrase-structure trees for syntax, family-resemblance clusters for concepts, etc etc.) Beginning of the 80’s: Move cognitive science closer to neuroscience Mind works with artificial neural networks, not representations
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A connectionist model in action (from Stillings et al. (1995))
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7 -4 7 -3 77 7 -10 A connectionist model in action (from Stillings et al. (1995)) Input layer Hidden Layer Output layer
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 -3 77 7 -10
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 -3 77 7 -10 00
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The XOR Function Input 1Input 2Output 000 101 011 110 -3 7 7 00
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 -3 77 7 -10 01
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 4 77 3 -10 01
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 4 77 3 4 01
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 4 77 3 4 10
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 -3 77 7 -10 11
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 11 77 7 -10 11
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 11 77 -10 11
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 11 77 -10 11
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The XOR Function Input 1Input 2Output 000 101 011 110 7 -4 7 11 7 -3 11
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