Contextual Information Allocation in Shared-State Cognitive Models: An Information-Theoretic Bound

arXiv:2602.16716 · cs.AI, cs.IT, math.IT, quant-ph · Submitted 2026-02-03 · Read on arXiv

cs.AI, cs.IT, math.IT, quant-ph

Submitted: 2026-02-03

Updated: 2026-09-22

Comments: Version 4: The manuscript was substantially revised to emphasize contextual information allocation in shared-state cognitive models. We strengthened the information-theoretic result, added tightness conditions and a worked recognition-memory example, clarified its distinction from contextuality measures, and expanded discussion of cognitive modeling and AI-agent context-memory-control trade-offs

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 4× in this paper · explained in 3 episodes
• No-Go Theorem — 4× in this paper · explained in 2 episodes
• Ontology — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Information-Theoretic Framework — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes

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