Mathematical Theory of Consciousness
R. Skopec
July 23, 2016 DOI: 10.4172/2155-9929.1000306 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Proposes that consciousness results from a global workspace in the brain that distributes information to many parallel unconscious processors, with the brain composed of flexible modules that can combine or decompose to perform novel tasks. The theory is founded on two axioms: consciousness is a mathematical structure with neurobiological semantics, and higher mental processes correspond to information-processing functions carried out by physical brain systems. |
Abstract
On the basis of this axioms we are proposing that consciousness is the result of a global workspace in the brain, which distributes information to the huge number of paralell unconscious processors forming a rest of the brain. Our theory is founded on the view that the brain is composed of many different paralell processors, or moduls, each capable of performing some task on the symbolic representations that it receives as input. The moduls are flexible in that they can combine to form new processors capable of performing novel tasks, and can decompose into a smaller component processors. Axiom A: The consciousness is a mathematical structure, with neurobiological semantics. Axiom B: The higher mental processes all correspond to well-defined but, at present, poorly understood information processing functions that are carried out by physical systems, our brains.
Citations in the library
Cites 5
- Consciousness as Integrated Information: a Provisional Manifesto Biological Bulletin December 1, 2008
- Guiding the study of brain dynamics by using first-person data: Synchrony patterns correlate with ongoing conscious states during a simple visual task Proceedings of the National Academy of Sciences January 22, 2002
- Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework PLoS Computational Biology June 12, 2008
- Some Reflections on Visual Awareness Cold Spring Harbor Symposia on Quantitative Biology 1990
- Can machines be conscious? IEEE Spectrum May 29, 2008