Summary of Informational Non-reductionist Theory Of Consciousness That Providing Maximum Accuracy Of Reality Prediction, by E.e. Vityaev
Informational non-reductionist theory of consciousness that providing maximum accuracy of reality prediction
by E.E. Vityaev
First submitted to arxiv on: 10 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Neurons and Cognition (q-bio.NC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes a non-reductionist theory of consciousness that cannot be explained by theories of reality, physiology, or psychology. Building on Dubrovsky’s “informational approach” to the Mind-Brain Problem, it views reality through the lens of information about observed phenomena, which is perceived by subjective reality through sensations, perceptions, and feelings. The authors develop their Information Theory of Consciousness (ITS) based on five key principles: the brain discovers all possible causal relations in the external world; makes all possible inferences using them; is built on the information laws governing the structure of the external world; explains the functioning of brain systems and cellular ensembles; ensures maximum accuracy of predictions and anticipation of reality; resolves emerging contradictions; and reflects reality through its brain processes. This approach, they argue, provides a comprehensive theory of consciousness that can explain the workings of the human brain. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper tries to understand how we think and feel. It’s like trying to figure out how our brains work from the inside out. Instead of looking at the physical world or what happens in our bodies, it looks at the information we gather about the world through our senses and feelings. This approach helps us understand how our brains make sense of everything and how we can predict what will happen next. The authors want to show that this way of thinking is important for understanding how our consciousness works. |
