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June 2, 20260 citationsOpen Access

Informational-Processual Monism – Scientific Core and Fallibilist Ontology

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TTaotuner

Key Points

  • This entry presents a testable research program on the dynamic predictive integration within dissipative systems and its ontological interpretation as a monist thesis.
  • Describes predictive integration in dissipative systems focusing on energy, matter, and flows.
  • Utilizes a heuristic marker (Φ*) to identify dynamic regimes and formulates falsifiable hypotheses.
  • Involves simulation invariants and epistemological constraints to ground a strong monist thesis.
  • Proposes that reality is fundamentally constituted by relational informational processes in transformation.
  • Demonstrates a shift from treating information as descriptive to ontologically primitive, redefining its role in the proposed monism.
  • Presents available simulation code and frameworks for further investigation.

Abstract

This entry contains two companion documents presenting Informational-Processual Monism (IPM). 1. IPM Scientific Core (descriptive layer) A testable research program on dynamic predictive integration in dissipative systems. - Substrate: dissipative processes (energy, matter, flows) - Information: descriptive layer (differences that make a difference) - Observable Φ*: heuristic marker of dynamic regime (not a measure of consciousness) - Falsifiable hypotheses and open problems 2. Informational-Processual Monism – A Simulation‑Grounded Fallibilist Ontology (ontological interpretation) A strong monist thesis: reality is fundamentally constituted by relational informational processes in continuous transformation. - Grounded in simulation invariants (R1–R3) - Dynamic signature: Lack → Coupling → Integration → Persistence - Governed by epistemological constraints (C0–C4) - Extensions: consciousness reformulated (not solved), Gradient Precautionary Heuristic Evolution from 2025 to 2026:The earlier IPM Scientific Core (2025) treated information as a descriptive layer, with dissipative processes as substrate. The robust simulation invariants (R1–R3) now support a stronger interpretation — informational as ontologically primitive. The present formulation supersedes the earlier descriptive reading and defends a fully informational‑processual monism. All simulation code, parameters, and raw data (Lack Kernel, Spectral Experiment, IPM Protocol, Collective Regimes Framework) are available separately on Zenodo.

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Taotuner (2026) studied this question.

synapsesocial.com/papers/6a1e734530b38c64201b67dchttps://doi.org/10.5281/zenodo.20477942
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