#rate-distortion-theory News & Analysis

2 articles tagged with #rate-distortion-theory. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 127/10

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Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory

Researchers propose DeMem, a decision-centric memory framework that optimizes agent memory allocation based on preserving distinctions needed for sound decision-making rather than descriptive accuracy. Using rate-distortion theory, the approach identifies what information can be safely forgotten under memory constraints and demonstrates performance gains on long-horizon language agent tasks.

AINeutralarXiv – CS AI · Jun 236/10

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Path-dependent program induction under resource constraints explains human sequence learning

Researchers developed a hierarchical Adaptor Grammar (HAG) model that explains how humans learn abstract patterns from sequential experiences under cognitive constraints. The framework combines rate-distortion theory with program induction to show that learning order influences which abstractions are discovered, with experimental validation from melodic sequence learning tasks demonstrating superior generalization and fit compared to alternative models.