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.
A Multi-Disciplinary Approach to Understanding Consciousness
The paper discussed in this article puts forth a non-reductionist theory of consciousness, emphasizing its independence from theories of reality, physiology, and psychology. Instead, it suggests adopting D.I. Dubrovsky’s “informational approach” to the “Mind-Brain Problem”, which views reality through the lens of information about observed phenomena. Subjective reality, on the other hand, is perceived through sensations, perceptions, and feelings – all of which convey information about corresponding brain processes.
By considering consciousness as an informational phenomenon, the paper presents the Information Theory of Consciousness (ITS) – a framework that integrates various disciplines, including information theory, neuroscience, and philosophy. This multi-disciplinary nature is crucial for a comprehensive understanding of consciousness, as it allows for different perspectives and insights to be taken into account.
The Principle of ITS Development: Discovering Causal Relations
A central principle put forward in the paper is that the brain’s primary function is to discover all possible causal relations in the external world and make inferences based on them. This principle aligns with the fundamental ideas of information theory which emphasize the extraction of patterns and relationships from data.
ITS takes this principle further by incorporating the information laws governing the structure of the external world. This integration ensures that the theory is grounded in empirical observations and can effectively explain how the brain’s functional systems and cellular ensembles function.
Predictions, Anticipation, and Resolution of Contradictions
The Information Theory of Consciousness offers several notable benefits. Firstly, it enables the brain to generate predictions with maximum accuracy and anticipate reality. By constantly processing and updating information from the environment, the brain can make informed predictions about future events.
Furthermore, ITS has the potential to resolve contradictions that emerge during the brain’s reflection of reality. As information is gathered and processed, conflicting pieces of information can lead to inconsistencies. The theory aims to address and reconcile these contradictions, allowing for a more coherent understanding of reality.
Towards an Information Theory of the Brain’s Reflection of Reality
In summary, the paper presents ITS as an information theory that bridges the gap between subjective consciousness and the objective external world. By adopting a multi-disciplinary approach that integrates information theory, neuroscience, and philosophy, the theory offers a comprehensive understanding of consciousness.
This informative framework not only explains the structure and functioning of the brain but also provides insights into how the brain reflects and interacts with reality. Its emphasis on discovering causal relations, generating accurate predictions, and resolving contradictions showcases the potential of ITS in advancing our understanding of consciousness and its place in the broader study of reality.