Neuro-Symbolic Adaptation for Autonomous Systems

Authors

  • Alex Morgan Author

Keywords:

neuro-symbolic AI, autonomous systems, adaptation, reasoning, explainability

Abstract

This review examines neuro-symbolic adaptation for autonomous systems. The organizing question is when learned perception and symbolic structure can support transparent adaptation under novel conditions. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to assuming symbolic components guarantee faithful or correct reasoning. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in adaptive autonomous decision systems.

References

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Published

2026-08-08

Issue

Vol. 1 (2026): Archive

Section

Review

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Copyright (c) 2026 Advances in Adaptive Intelligence

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