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A Classical Probabilistic Computer Model of Consciousness

Stephen Blaha

arXiv Preprint Archive January 25, 2002 via arXiv

Summary

AI-generated from the abstract

Human consciousness can be modeled as a classical probabilistic computer rather than a quantum one, because no known feature of consciousness depends on Planck's constant, the hallmark of quantum phenomena. The facets of consciousness are describable using an object-oriented design with dynamically defined classes and objects. Consciousness may also have redundant, protective mechanisms, similar to principles in economic theory.

Study at a glance

Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Physics.bio-ph Cond-mat.dis-nn Physics.med-ph Physics.pop-ph Consciousness
Key finding Argues that human consciousness can be modeled as a classical probabilistic computer, not a quantum one, and that its facets are describable by an object-oriented design with dynamically defined classes and objects.

Abstract

We show that human consciousness can be modeled as a classical (not quantum) probabilistic computer. A quantum computer representation does not appear to be indicated because no known feature of consciousness depends on Planck's constant h, the telltale sign of quantum phenomena. It is argued that the facets of consciousness are describable by an object-oriented design with dynamically defined classes and objects. A comparison to economic theory is also made. We argue consciousness may also have redundant, protective mechanisms.

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