| 내용 |
1, Vision is not a cognitive process. - 1.1, Introduction. - 1.2, The thesis. - 1.3, The argument. - 1.4, The context and the consequences. - 1.5, Conclusion. - 2, The Embedded View. - 2.1, Introduction. - 2.2, Embedded seeing. - 2.3, Natural scene statistics. - 2.4, Bayesian approaches to vision: neuro-centrism without representation. - 2.5, Conclusion. - 3, Representation and the issue of evidence. - 3.1, Introduction. - 3.2, Implicit representation. - 3.3, Beyond misrepresentation. - 3.4, Is this just terminology? - 3.5, Representation. - 3.6, The evidence: s-representations. - 3.7, The evidence: p-representations. - 3.8, Conclusion. - 4, The explanatory power of the embedded view. - 4.1, Introduction. - 4.2, Stability. - 4.3, Constancy. - 4.4, Misperception. - 4.5, Visual illusion. - 4.6, Completion. - 4.7, Multistability. - 4.8, Semantic effects and cognitive penetrability. - 4.9, Conclusion. - 5, Computation. - 5.1, Introduction. - 5.2, Computation without representation. - 5.3, Seeing is not believing. - 5.4, Conclusion.
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