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#feedback-systems News & Analysis

2 articles tagged with #feedback-systems. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Feb 277/108
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A Mathematical Theory of Agency and Intelligence

Researchers propose a mathematical framework distinguishing agency from intelligence in AI systems, introducing 'bipredictability' as a measure of effective information sharing between observations, actions, and outcomes. Current AI systems achieve agency but lack true intelligence, which requires adaptive learning and self-monitoring capabilities.

AIBullisharXiv – CS AI · Mar 55/10
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Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback

Researchers developed a new variance-reduced EXP4-based algorithm for optimizing routing policies in multi-layer hierarchical inference systems. The solution addresses the challenge of sparse, policy-dependent feedback in AI systems where prediction errors are only revealed at terminal layers, improving stability and performance over standard importance-weighted approaches.