An Operator Algebra of Cognitive Memory Consolidation: Layered Composition, Lyapunov Stability, and the Cooperative-Survival Theorem

We develop an operator-algebraic account of memory consolidation in layered cognitive systems. Consolidation steps are modelled as operators on a memory state space; layering corresponds to composition, and the resulting algebra admits closure conditions under which a layered system remains well-behaved. We give a Lyapunov-style stability argument for repeated consolidation and prove a cooperative-survival theorem characterising when jointly applied mechanisms retain information that each mechanism alone would lose. The framework is intended as a theoretical root for empirical work on long-term memory in artificial agents: it states what composition can and cannot buy, independently of any particular implementation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-24
DOI
https://doi.org/10.5281/zenodo.21549093
Primary Topic
Cognitive Computing and Networks
Type
preprint
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preprint

An Operator Algebra of Cognitive Memory Consolidation: Layered Composition, Lyapunov Stability, and the Cooperative-Survival Theorem

Alexander Bering
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
preprint

An Operator Algebra of Cognitive Memory Consolidation: Layered Composition, Lyapunov Stability, and the Cooperative-Survival Theorem

Alexander Bering
preprint en

Abstract

We develop an operator-algebraic account of memory consolidation in layered cognitive systems. Consolidation steps are modelled as operators on a memory state space; layering corresponds to composition, and the resulting algebra admits closure conditions under which a layered system remains well-behaved. We give a Lyapunov-style stability argument for repeated consolidation and prove a cooperative-survival theorem characterising when jointly applied mechanisms retain information that each mechanism alone would lose. The framework is intended as a theoretical root for empirical work on long-term memory in artificial agents: it states what composition can and cannot buy, independently of any particular implementation.

Zenodo (CERN European Organization for Nuclear Research)
Clinical Research Center Kiel (DE)
Cognitive Computing and Networks
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