Informational non-reductionist theory of consciousness that providing maximum accuracy of reality prediction
E. E. Vityaev
arXiv Preprint Archive December 10, 2023 preprint
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Topics | Philosophy of mind |
| Keywords | Artificial intelligence cs.ai Predictive processing Neural computation q-bio.nc |
| Key points | Proposes that an Information Theory of Consciousness, based on the principle that the brain discovers all possible causal relations and inferences, can explain brain structure and functioning while maximizing predictive accuracy. |
Abstract
The paper considers a non-reductionist theory of consciousness, which is not reducible to theories of reality and to physiological or psychological theories. Following D.I.Dubrovsky's "informational approach" to the "Mind-Brain Problem", we consider the reality through the prism of information about observed phenomena, which, in turn, is perceived by subjective reality through sensations, perceptions, feelings, etc., which, in turn, are information about the corresponding brain processes. Within this framework the following principle of the Information Theory of Consciousness (ITS) development is put forward: the brain discovers all possible causal relations in the external world and makes all possible inferences by them. The paper shows that ITS built on this principle: (1) also base on the information laws of the structure of external world; (2) explains the structure and functioning of the brain functional systems and cellular ensembles; (3) ensures maximum accuracy of predictions and the anticipation of reality; (4) resolves emerging contradictions and (5) is an information theory of the brain's reflection of reality.
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