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http://dx.doi.org/10.1016/j.plrev.2023.11.004 | DOI Listing |
Neurosci Conscious
December 2024
Department of Philosophy, Institute of Technology Futures, Karlsruhe Institute of Technology, Douglasstraße 24, Karlsruhe 76133, Germany.
We apply the methodology of no-go theorems as developed in physics to the question of artificial consciousness. The result is a no-go theorem which shows that under a general assumption, called dynamical relevance, Artificial Intelligence (AI) systems that run on contemporary computer chips cannot be conscious. Consciousness is dynamically relevant, simply put, if, according to a theory of consciousness, it is relevant for the temporal evolution of a system's states.
View Article and Find Full Text PDFArtif Life
November 2024
Michigan State University, Department of Microbiology, Genetics, and Immunology.
Life (Basel)
December 2023
Institute for Advanced Study, 30 Vasilaki Papadopulu Str., 9010 Varna, Bulgaria.
The natural evolution of consciousness in different animal species mandates that conscious experiences are causally potent in order to confer any advantage in the struggle for survival. Any endeavor to construct a physical theory of consciousness based on emergence within the framework of classical physics, however, leads to causally impotent conscious experiences in direct contradiction to evolutionary theory since epiphenomenal consciousness cannot evolve through natural selection. Here, we review recent theoretical advances in describing sentience and free will as fundamental aspects of reality granted by quantum physical laws.
View Article and Find Full Text PDFPhys Life Rev
December 2023
CHU Sainte-Justine Research Center, Department of Psychiatry, University of Montreal, Canada; Mila - Quebec AI Institute, Canada. Electronic address:
Phys Life Rev
December 2023
Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London WC1N 3AR, UK. Electronic address:
This paper describes a path integral formulation of the free energy principle. The ensuing account expresses the paths or trajectories that a particle takes as it evolves over time. The main results are a method or principle of least action that can be used to emulate the behaviour of particles in open exchange with their external milieu.
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