The Duality Ledger Framework A Systems Account of Energy, Debt, and Boundary-Driven Agency

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Authors: Jamie Morris
Cited by: 0

Abstract

This work presents The Duality Ledger, a conceptual systems framework for understanding biological, cognitive, and organizational phenomena through the mechanics of constraint translation, energy flow, and deferred cost (debt). Rather than treating duality as an ontological division between opposing worlds or states, the framework reframes duality as the consequence of translating a single underlying process across incompatible constraint frames. Within this model, stability arises in aligned constraint cores, while crossover regions—where frames partially overlap—function as high-gain zones in which small perturbations are amplified. It is within these boundary regions that agency, creativity, and genuine choice become possible, as systems must collapse ambiguity into discrete action. Outside these regions, behavior is either deterministic (within stable cores) or incoherent (in unstructured space). The framework preserves all fundamental physical constraints, including a single arrow of time, monotonic entropy, and conservation of energy. Apparent reversals, oppositions, or temporal ambiguities are interpreted as frame-dependent translations, not violations of physical law. Diversity is treated as translation residue—an unavoidable byproduct of partial, non-invertible mappings between constraint frames—rather than as a teleological goal. By identifying energy and debt as the primary drivers of change, the Duality Ledger provides a unifying interpretive lens applicable across biology, cognition, complexity theory, and systems science. The work does not propose new empirical laws; instead, it offers a rigorous, non-invasive framework for explaining why opposing descriptions coexist, why transitions concentrate at boundaries, and why agency is local, costly, and temporary.

Fields of Study & Subjects

Embodied and Extended Cognition Chaos Complexity and Education Complex Systems and Decision Making

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026
Document type
Preprint