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The thermodynamics of cognition: A mathematical treatment.

Éva Déli, James F Peters, Zoltán Kisvárday

Computational and Structural Biotechnology Journal January 12, 2021 DOI: 10.1016/j.csbj.2021.01.008 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Consciousness Free will Emotional regulation Intellect Mental energy Landauer's principle Carnot cycle Fermionic mind hypothesis
Key points Argues that positive emotional states can be modeled by a reversed Carnot cycle and negative emotional reactions by the Carnot cycle, producing contrasting energetic and entropic aftereffects with consequences for mental energy. The authors propose that this thermodynamic framework can explain recent findings in human psychology and contribute to making psychology a hard science.

Abstract

There is a general expectation that the laws of classical physics must apply to biology, particularly the neural system. The evoked cycle represents the brain's energy/information exchange with the physical environment through stimulus. Therefore, the thermodynamics of emotions might elucidate the neurological origin of intellectual evolution, and explain the psychological and health consequences of positive and negative emotional states based on their energy profiles. We utilized the Carnot cycle and Landauer's principle to analyze the energetic consequences of the brain's resting and evoked states during and after various cognitive states. Namely, positive emotional states can be represented by the reversed Carnot cycle, whereas negative emotional reactions trigger the Carnot cycle. The two conditions have contrasting energetic and entropic aftereffects with consequences for mental energy. The mathematics of the Carnot and reversed Carnot cycles, which can explain recent findings in human psychology, might be constructive in the scientific endeavor in turning psychology into hard science.

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