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Wishful Thinking about Consciousness

Grindrod Peter

IgMin Research May 2, 2024 DOI: 10.61927/igmin180 (opens in new tab)

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Characteristics Theoretical or philosophical paper Peer reviewed
Key points The authors compare quantum consciousness, integrated information theory, and very large-scale dynamical systems simulation of a network of networks as mathematical approaches to the hard problem of consciousness. They highlight each approach's features and hypotheses, discuss where the approaches align or conflict, raise challenges to them, and argue that an evolutionary perspective challenges their claims of performance advantages and physiological surrogates for consciousness.

Abstract

We contrast three very distinct mathematical approaches to the hard problem of consciousness: quantum consciousness, integrated information theory, and the very large-scale dynamical systems simulation of a network of networks. We highlight their features and their associated hypotheses, and we discuss how they are aligned or in conflict. We suggest some challenges to these theories, in considering how they might apply to the human brain as it develops both cognitive and conscious sophistication, from infancy to adulthood. We indicate how an evolutionary perspective challenges the distinct approaches to aver performance advantages and physiological surrogates for consciousness.

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