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In recent years, the family of algorithms collected under the term ``deep learning'' has revolutionized artificial intelligence, enabling machines to reach human-like performances in many complex cognitive tasks. Although deep learning models are grounded in the connectionist paradigm, their recent advances were basically developed with engineering goals in mind. Despite of their applied focus, deep learning models eventually seem fruitful for cognitive purposes. This can be thought as a kind of biological exaptation, where a physiological structure becomes applicable for a (...) |
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Disjunctivist views in the theory of perception hold that genuine perceptions differ in some relevant kind from misperceptions, such as illusions and hallucinations. In recent papers, Tyler Burge has argued that such views conflict with the basic tenets of perceptual psychology. According to him, perceptual psychology is committed to the view that genuine perceptions and misperceptions produced by the same proximal stimuli must be or involve perceptual states of the same kind. This, he argues, conflicts with disjunctivism. In this paper, (...) |
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A central question, if not the central question, of philosophy of perception is whether sensory states have a nature similar to thoughts about the world, whether they are essentially representational. According to the content view, at least some of our sensory states are, at their core, representations with contents that are either accurate or inaccurate. Tyler Burge’s Origins of Objectivity is the most sustained and sophisticated defense of the content view to date. His defense of the view is problematic in (...) |
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Despite the upsurge of research on disgust, the implications of this research for the investigation of cultural pollution beliefs has yet to be adequately explored. In particular, the sensitivity of both disgust and pollution to a common set of elicitors suggests a common psychological basis, though several obstacles have prevented an integrative account, including methodological differences between the relevant disciplines. Employing a conciliatory framework that embraces both naturalistic and humanistic levels of explanation, this article examines the dynamic reciprocal process by (...) |
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The Emergic Cognitive Model (ECM) is a unified computational model of visual filling-in based on the Emergic Network architecture. The Emergic Network was designed to help realize systems undergoing continuous change. In this thesis, eight different filling-in phenomena are demonstrated under a regime of continuous eye movement (and under static eye conditions as well). -/- ECM indirectly demonstrates the power of unification inherent with Emergic Networks when cognition is decomposed according to finer-grained functions supporting change. These can interact to raise (...) |
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