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Boundedly Rational Meta-Learning in Sequential Consumer Choice

cs.LG · 2026-05-15 · unverdicted · novelty 7.0

Consumers transfer brand-level regularities across contexts using low-D boundedly rational meta-learning approximations that fit choice data better than no-transfer or fully integrated Bayesian benchmarks.

Prospective Compression in Human Abstraction Learning

cs.AI · 2026-05-11 · unverdicted · novelty 7.0

Humans exhibit abstraction learning consistent with prospective compression of future tasks in non-stationary domains, unlike retrospective compression algorithms or LLM-based approaches.

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  • Boundedly Rational Meta-Learning in Sequential Consumer Choice cs.LG · 2026-05-15 · unverdicted · none · ref 173

    Consumers transfer brand-level regularities across contexts using low-D boundedly rational meta-learning approximations that fit choice data better than no-transfer or fully integrated Bayesian benchmarks.