Article

When Experience Leaves a Trace: Consolidation-Dependent Persistence in Artificial Agents

2026-02-20

Abstract excerpt

Across minimal neural networks and small transformer models, we demonstrate that experience ordering alone can produce durable, irreversible behavioral divergence in artificial agents—but only when learning is consolidated into internal parameters rather than externally scaffolded. We test six architectural variants against four operational diagnostics: deletion resistance, path dependence, irreversibility, and pr...

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Literature Corpus work: 3a5011dc-ca1d-58aa-a3bd-406d984d36f4
DOI: 10.64898/2026.02.19.706800

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