David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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In Rahul Banerjee & B. K. Chakrabarti (eds.), Models of Brain and Mind: Physical, Computational, and Psychological Approaches. Elsevier (2008)
It is usually taken as given that consciousness involves superior or more elaborate forms of information processing. Contemporary models equate consciousness with global processing, system complexity, or depth or stability of computation. This is in stark contrast with the powerful philosophical intuition that being conscious is more than just having the ability to compute. I argue that it is also incompatible with current empirical findings. I present a model that is free from the strong assumption that consciousness predicts superior performance. The model is based on Bayesian decision theory, of which signal detection theory is a special case. It reflects the fact that the capacity for perceptual decisions is fundamentally limited by the presence and amount of noise in the system. To optimize performance, one therefore needs to set decision criteria that are based on the behaviour, i.e. the probability distributions, of the internal signals. One important realization is that the knowledge of how our internal signals behave statistically has to be learned over time. Essentially, we are doing statistics on our own brain. This ‘higherorder’ learning, however, may err, and this impairs our ability to set and maintain optimal criteria for perceptual decisions, which I argue is central to perception consciousness. I outline three possibilities of how conscious perception might be affected by failures of ‘higher-order’ representation. These all imply that one can have a dissociation between consciousness and performance. This model readily explains blindsight and hallucinations in formal terms, and is beginning to receive direct empirical support. I end by discussing some philosophical implications of the model.
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Citations of this work BETA
Hakwan Lau & David Rosenthal (2011). Empirical Support for Higher-Order Theories of Conscious Awareness. Trends in Cognitive Sciences 15 (8):365-373.
Sid Kouider, Vincent de Gardelle, Jérôme Sackur & Emmanuel Dupoux (2010). How Rich is Consciousness? The Partial Awareness Hypothesis. Trends in Cognitive Sciences 14 (7):301-307.
Richard Brown (2012). The Myth of Phenomenological Overflow. Consciousness and Cognition 21 (2):599-604.
Antoine Pasquali, Bert Timmermans & Axel Cleeremans (2010). Know Thyself: Metacognitive Networks and Measures of Consciousness. Cognition 117 (2):182-190.
Chen Song, Ryota Kanai, Stephen M. Fleming, Rimona S. Weil, D. Samuel Schwarzkopf & Geraint Rees (2011). Relating Inter-Individual Differences in Metacognitive Performance on Different Perceptual Tasks. Consciousness and Cognition 20 (4):1787.
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