Connectionism and LOT

More documents

Recommendations

Info

2) Fast processing via parallelism • “100 Step” argument. Neurons change state very slowly compared with computer computations. Neurons can only process 100 steps a second (whereas computers can process a million). But the brain can solve many complex problems in less than 1 second, e.g. face recognition ⇒ for these, it can use maximally 100 steps. • Conventional computer programs do mostly serial processing <strong>and</strong> usually require considerably more than 100 processing steps for problems where brains need less than a second. So, such computers cannot provide a good model of cognition. • Connectionist computations are done by parallel processing, thus much more can be achieved in 100 steps. Cf.: http://www.ucs.louisiana.edu/~isb9112/dept/phil341/myths/myths.html
3) Performance of connectionist networks resembles performance of human brains Connectionist networks are good at: • Pattern recognition: networks can learn through examples • Content-addressable memory: items can be retrieved based on their meanings or properties • Generalizations: networks can generalize connections between characteristics or properties
Page 1 and 2: Connectionism & Connectionism and L
Page 3 and 4: Types of Connectionist Representati
Page 5 and 6: 2) Distributed representations. E.g
Page 7 and 8: 3) No representation. More controve
Page 9 and 10: LOTH approach: I am thirsty. There
Page 11 and 12: Connectionism makes eliminativism p
Page 13: Advantages of Connectionism 1) Biol
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

Connectionism and LOT

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?