Objects of consciousness.
Donald D Hoffman, Chetan Prakash
Frontiers in Psychology June 17, 2014 DOI: 10.3389/fpsyg.2014.00577 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Quantum theory Consciousness Markov chains Geometric algebra Combination problem |
| Key points | Argues that evolutionary biology and certain interpretations of quantum theory together suggest perception does not estimate preexisting physical truths, and proposes a formal model of interacting "conscious agents" from which objects and space-time emerge. Shows the quantum free particle's wave function is identical in form to harmonic functions characterizing the asymptotic dynamics of conscious agents, allowing physical properties like position, momentum, and energy to be reinterpreted as properties of interacting conscious agents. |
Abstract
Current models of visual perception typically assume that human vision estimates true properties of physical objects, properties that exist even if unperceived. However, recent studies of perceptual evolution, using evolutionary games and genetic algorithms, reveal that natural selection often drives true perceptions to extinction when they compete with perceptions tuned to fitness rather than truth: Perception guides adaptive behavior; it does not estimate a preexisting physical truth. Moreover, shifting from evolutionary biology to quantum physics, there is reason to disbelieve in preexisting physical truths: Certain interpretations of quantum theory deny that dynamical properties of physical objects have definite values when unobserved. In some of these interpretations the observer is fundamental, and wave functions are compendia of subjective probabilities, not preexisting elements of physical reality. These two considerations, from evolutionary biology and quantum physics, suggest that current models of object perception require fundamental reformulation. Here we begin such a reformulation, starting with a formal model of consciousness that we call a "conscious agent." We develop the dynamics of interacting conscious agents, and study how the perception of objects and space-time can emerge from such dynamics. We show that one particular object, the quantum free particle, has a wave function that is identical in form to the harmonic functions that characterize the asymptotic dynamics of conscious agents; particles are vibrations not of strings but of interacting conscious agents. This allows us to reinterpret physical properties such as position, momentum, and energy as properties of interacting conscious agents, rather than as preexisting physical truths. We sketch how this approach might extend to the perception of relativistic quantum objects, and to classical objects of macroscopic scale.
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- Integrated world modeling theory expanded: Implications for the future of consciousness. Frontiers in Computational Neuroscience November 24, 2022
- A Compositional Model of Consciousness Based on Consciousness-Only. Entropy (Basel, Switzerland) March 5, 2021
- We need to explain subjective experience, but its explanation may not be mechanistic Neuroscience of Consciousness August 29, 2022
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Cites 6
- An information integration theory of consciousness BMC Neuroscience November 2, 2004
- Consciousness as Integrated Information: a Provisional Manifesto Biological Bulletin December 1, 2008
- The Neural Correlates of Consciousness Annals of the New York Academy of Sciences March 1, 2008
- Quantum computation in brain microtubules? The Penrose–Hameroff ‘Orch OR‘ model of consciousness Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences August 15, 1998
- Practical Measures of Integrated Information for Time-Series Data PLoS Computational Biology January 20, 2011
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