Published June 2, 2026 | Version v1
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Before Intelligence: Identity, Continuity, and Survival in Biological and Artificial Systems

Authors/Creators

  • 1. Independent researcher

Description

For centuries, discussions of intelligence have largely been framed within a

Cartesian paradigm in which cognition serves as the primary evidence of existence.

The proposition “Cogito, ergo sum” (“I think, therefore I am”) established thought

as the epistemic foundation of certainty. This paper explores an alternative systemsoriented perspective inspired by the theoretical framework of Self-Preserving Flow

(SPF). Rather than treating intelligence as the foundational property of adaptive

systems, SPF proposes that long-horizon intelligence presupposes a deeper condition:

continuity.

The central argument developed here is that a system cannot learn, reason,

pursue goals, or adapt across extended temporal horizons unless it preserves sufficient

historical continuity to remain identifiable as the same system through time. Identity

is therefore interpreted not as a static property, but as a dynamically maintained

relationship between present states and historically recoverable lineage. Intelligence

emerges not as a primitive phenomenon, but as a higher-order capability built upon

persistence, continuity, memory, and identity.

The paper develops an ontological and systems-theoretic interpretation of continuity preservation and proposes a conceptual hierarchy:

Persistence → Identity → Memory → Learning → Intelligence

1This framework is applied to biological evolution, adaptive systems, artificial

intelligence, and long-horizon autonomous agents. The paper further argues that

many contemporary discussions of intelligence implicitly commit what may be

termed a Time-Scale Fallacy: the assumption that properties observed in shorthorizon optimization systems can be generalized to open-ended adaptive entities

operating across extended historical timescales.

Finally, the paper explores implications for artificial life and AI alignment, suggesting that the future challenge of advanced intelligent systems may not simply be

the production of greater intelligence, but the preservation of historically recoverable

identity under conditions of continuous adaptation and entropic pressure.

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Additional details

Related works

Is supplemented by
Other: 10.5281/zenodo.20266773 (DOI)