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EN
In this paper, I review the motivations for having a computational theory of consciousness to see if they turn out to be no longer plausible in the light of recent criticisms. These criticisms focus on the alleged inability of computational theories to deal with qualia, or qualities of experience (or objects of experience in some accounts), and with so-called symbol grounding. Yet it seems that computationalism remains the best game in town when one wants to explain and predict the dynamics of information processing of cognitive systems. Conscious information processing does not seem to be explainable better within any other framework; computationalism regarding consciousness can only be discarded by supposing that consciousness is epiphenomenal in information processing. I will argue that recent theories of consciousness that are to deal with the so called hard problem of consciousness remain in their core computational if they do not subscribe to epiphenomenalism. For example, the quantum theory as proposed by Stuart Hameroff remains openly computational; the same goes for pan(proto) psychist speculation of David Chalmers. The qualitative character of information processing that Chalmers takes to explain the existence of subjective experience piggy-backs, so to say, on the very fact that there is information processing that is best explained in a computationalist framework. I also briefly show that other alternative accounts of consciousness (such as direct theories of consciousness) that were supposed to oppose computational and functionalist conceptions are not only compatible with them but require them to begin with. In short, to discard credentials of computationalism in consciousness research one would have to show that it's possible to explain conscious information-processing mechanisms sufficiently in a non-computational way. And this has not been done by any of the critics of computational accounts. This all doesn't suggest, though, that computational explanation is sufficient for building a complete theory of consciousness; it seems however to be necessary.
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88%
Avant
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2010
|
vol. 1
|
issue 1
EN
This paper responds to the issues raised by D. Chalmers by offering a research direction which is quite radical because of the way in which methodological principles are linked to scientific studies of consciousness. Neuro-phenomenology is the name I use here to designate a quest to marry modern cognitive science and a disciplined approach to human experience, thereby placing myself in the lineage of the continental tradition of Phenomenology. My claim is that the so-called hard problem that animates these Special Issues can only be addressed productively by gathering a research community armed with new pragmatic tools for the development of a science of consciousness. I will claim that no piecemeal empirical correlates, nor purely theoretical principles, will really help us at this stage. We need to turn to a systematic exploration of the only link between mind and consciousness that seems both obvious and natural: the structure of human experience itself. In what follows I motivate my choice by briefly examining the current debate about consciousness at the light of Chalmer's hard problem. Next, I outline the (neuro)phenomenological strategy. Finally I conclude by discussing some of the main difficulties and consequences of this strategy.
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Neurofenomenologia: zaproszenie do dyskusji

88%
Avant
|
2010
|
vol. 1
|
issue 1
169-177 (en: 179–189)
EN
No more than a few years ago could open an article concerning neurophenomenology with a statement describing recent rediscovery of the problem of consciousness by the cognitive sciences and pointing to the fact that right now, explaining conscious experience in neuroscientific or computational terms poses the greatest challenge for those sciences. Today however, constatations of this sort start to sound like trivial descriptions of a universally recognized state of affairs. The question of “how the water of the physical brain is turned into a wine of consciousness” is now among the mainstream problems of cognitive science.
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