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Neuro-Symbolic Fusion for Cognitive Threat Reasoning in Cyber Deception Environments

The authors propose a neuro-symbolic fusion approach for cognitive threat reasoning in cyber deception environments. It combines deep neural networks with symbolic reasoning, using knowledge graphs, probabilistic logic, and reinforcement learning to identify, predict, and respond to adversaries and to optimize deception strategies.

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What we know

The authors propose a neuro-symbolic fusion approach for cognitive threat reasoning in cyber deception environments. It combines deep neural networks with symbolic reasoning, using knowledge graphs, probabilistic logic, and reinforcement learning to identify, predict, and respond to adversaries and to optimize deception strategies.

Evidence limits

Review based only on the abstract deposited in Crossref, without full-text access or independent validation of results.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Neuro-Symbolic Fusion for Cognitive Threat Reasoning in Cyber Deception Environments
    abstract · 2026-10-11

Reviewed: 2026-10-16. This record may change when new evidence is found.

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