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Maguire, Phil, Moser, Philippe, Maguire, Rebecca and Griffith, Virgil (2014) Is Consciousness Computable? Quantifying Integrated Information Using Algorithmic Information Theory. Working Paper. arXiv.
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Abstract
In this article we review Tononi’s (2008) theory of consciousness
as integrated information. We argue that previous formalizations
of integrated information (e.g. Griffith, 2014) depend
on information loss. Since lossy integration would necessitate
continuous damage to existing memories, we propose it is
more natural to frame consciousness as a lossless integrative
process and provide a formalization of this idea using algorithmic
information theory. We prove that complete lossless
integration requires noncomputable functions. This result implies
that if unitary consciousness exists, it cannot be modelled
computationally.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Additional Information: | Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society |
| Keywords: | Consciousness; integrated information; synergy; data compression; modularity of mind; |
| Academic Unit: | Faculty of Science and Engineering > Mathematics and Statistics |
| Item ID: | 6267 |
| Identification Number: | arXiv:1405.0126 |
| Depositing User: | Philippe Moser |
| Date Deposited: | 17 Jul 2015 14:00 |
| Publisher: | arXiv |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/6267 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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