Connectionism and LOT

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Characterizing distributed representations: • Connectionist networks are typically distributed representations. • Distributed representations are not necessarily symbolic. • Distributed representations are more robust to damage than local representations.
3) No representation. More controversially, connectionist networks might have no representational properties. Note: • Output of connectionist network may be recognition of a concept, e.g. Cat, Tiger, Man, etc. but… • Output of connectionist network may also be action, e.g. moving through space, reading aloud • Rather than representing content, networks can just act.
Page 1 and 2: Connectionism & Connectionism and L
Page 3 and 4: Types of Connectionist Representati
Page 5: 2) Distributed representations. E.g
Page 9 and 10: LOTH approach: I am thirsty. There
Page 11 and 12: Connectionism makes eliminativism p
Page 13 and 14: Advantages of Connectionism 1) Biol
Page 15 and 16: 3) Performance of connectionist net
Page 17 and 18: 4) Connectionism provides a natural
Page 19 and 20: 1) Biological plausibility Networks
Page 21 and 22: 2) The 100 step argument Problem: w
Page 23 and 24: Another weakness of Connectionism S
Page 25 and 26: 1) Connectionism implements LOT Con
Page 27 and 28: 3) Hybrid theory Some mental proces
Page 29 and 30: Rule composing the implement and ha
Page 31 and 32: Connectionism and Modularity Connec

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