Informational Substance Theory: From Substantial Motion to Conscious Fields

Informational Substance Theory (IST) proposes a novel metaphysical framework where dynamic, structured information constitutes the fundamental ontological substrate of reality. Drawing on Mulla Sadra’s doctrine of substantial motion (al-harakat al-jawhariyya) which envisions existence as perpetual becoming IST integrates quantum field theory (QFT), loop quantum gravity (LQG), and Integrated Information Theory (IIT) to unify physics, metaphysics, and philosophy of mind. We redefine substances as a self-organizing informational continuum, where physical fields emerge as excitations, spacetime as quantized relational networks, and consciousness as a highly integrated, self-reflexive informational field. Contrasting IST with panpsychism, neutral monism, and process philosophy, we argue it avoids traditional dualisms and reductionism, offering a non-reductive solution to the “hard problem” of consciousness. Grounded in empirical frameworks like IIT’s Φ metric and neural field theories (e.g., active inference), IST suggests testable implications, including experiments on informational integration in consciousness and quantum cosmology. By formalizing the informational continuum via information geometry and category theory, IST bridges Sadrian metaphysics with modern science, proposing that the universe is a self-evolving narrative of information. We outline future research to model this ontology and explore its ethical and cosmological implications.

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Publication Details

Journal
International Journal of Advanced Research and Interdisciplinary Scientific Endeavours
Published
2025-07-11
DOI
https://doi.org/10.61359/11.2206-2534
Primary Topic
Cognitive Science and Education Research
Type
article
Field-Weighted Citation Impact
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article

Informational Substance Theory: From Substantial Motion to Conscious Fields

Mehdi Zaeri Amirani
International Journal of Advanced Research and Interdisciplinary Scientific Endeavours
Cognitive Science and Education Research
article

Informational Substance Theory: From Substantial Motion to Conscious Fields

Mehdi Zaeri Amirani
article en

Abstract

Informational Substance Theory (IST) proposes a novel metaphysical framework where dynamic, structured information constitutes the fundamental ontological substrate of reality. Drawing on Mulla Sadra’s doctrine of substantial motion (al-harakat al-jawhariyya) which envisions existence as perpetual becoming IST integrates quantum field theory (QFT), loop quantum gravity (LQG), and Integrated Information Theory (IIT) to unify physics, metaphysics, and philosophy of mind. We redefine substances as a self-organizing informational continuum, where physical fields emerge as excitations, spacetime as quantized relational networks, and consciousness as a highly integrated, self-reflexive informational field. Contrasting IST with panpsychism, neutral monism, and process philosophy, we argue it avoids traditional dualisms and reductionism, offering a non-reductive solution to the “hard problem” of consciousness. Grounded in empirical frameworks like IIT’s Φ metric and neural field theories (e.g., active inference), IST suggests testable implications, including experiments on informational integration in consciousness and quantum cosmology. By formalizing the informational continuum via information geometry and category theory, IST bridges Sadrian metaphysics with modern science, proposing that the universe is a self-evolving narrative of information. We outline future research to model this ontology and explore its ethical and cosmological implications.

International Journal of Advanced Research and Interdisciplinary Scientific EndeavoursVol. 2(6)
Chemistry and Chemical Engineering Research Center of Iran (IR)
Openalex Percentile: Top 81%
Cognitive Science and Education Research
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Informational Substance Theory: From Substantial Motion to Conscious Fields — Mehdi Zaeri Amirani · International Journal of Advanced Research and Interdisciplinary Scientific Endeavours (2025) | TGRS Research Map | TGRS