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On the probabilistic character of irreducible mental causation

Dimitrijević, Dejan R. (2024) On the probabilistic character of irreducible mental causation. [Preprint]

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It has recently been remarked that the argument for physicalism from the causal closure of the physical is incomplete. It is only effective against mental causation manifested in the action of putative mental forces that lead to acceleration of particles in the nervous system. Based on consideration of anomalous, physically unaccounted-for correlations of neural events, I argue that irreducible mental causation whose nature is at least prima facie probabilistic is conceivable. The manifestation of such causation should be accompanied by a local violation of the Second Law of thermodynamics. I claim that mental causation can be viewed as the disposition of mental states to alter the state probability distribution within the nervous system, with no violation of the conservation laws. If confirmed by neurophysical research, it would indicate a kind of causal homogeneity of the world. Causation would manifest probabilistically in both quantum mechanical and psychophysical systems, and the dynamics of both would be determined by the temporal evolution of the corresponding system state function. Finally, I contend that a probabilistic account of mental causation can consistently explain the character of the selectional states that ensure uniformity of causal patterns, as well as the fact that different physical realizers of a mental property cause the same physical effects in different contexts.

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Item Type: Preprint
Dimitrijević, Dejan R.dimke68dd@gmail.com0000-0001-7668-8153
Keywords: Causal closure of the physical; Maxwell’s demon; Mental causation; Probability distribution; Second law of thermodynamics
Subjects: General Issues > Causation
Specific Sciences > Probability/Statistics
Depositing User: Dr. Dejan R. Dimitrijević
Date Deposited: 18 May 2024 08:08
Last Modified: 18 May 2024 08:08
Item ID: 23424
Subjects: General Issues > Causation
Specific Sciences > Probability/Statistics
Date: 2024

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