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Knowledge as a Causal Operator: A Minimal Framework for Persistence and Future State Accessibility

Jamie Morris

Zenodo (CERN European Organization for Nuclear Research) March 18, 2026 DOI: 10.5281/zenodo.19088449 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes that system persistence scales with accumulated coherent knowledge, formalized as a function of knowledge (K), coherence (c), and environmental pressure (E). Argues this framework is falsifiable and applicable across biological, artificial, ecological, and cultural systems, and bridges philosophy of mind, information theory, and complex systems science without metaphysical assumptions about consciousness.

Abstract

This work presents a minimal, testable framework linking experience, biological organization, knowledge accumulation, and system persistence. Starting from the epistemic primacy of experience, it identifies biology as the first empirically confirmed regime in which experience is stably organized. Knowledge is defined as structured information that reduces uncertainty over future state transitions, and a central hypothesis is proposed: system persistence scales with accumulated coherent knowledge. The framework introduces an operational formulation, �, where persistence depends on knowledge (K), coherence (c), and environmental pressure (E). This formulation yields falsifiable predictions and is applicable across biological, artificial, ecological, and cultural systems. The work remains compatible with established physical laws, including thermodynamics, while reframing knowledge as a causal operator that shapes the topology of reachable future states. It provides a bridge between philosophy of mind, information theory, and complex systems science without requiring metaphysical assumptions about the ontological status of consciousness.