A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
author Craver, C.F
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces the Mechanism Plausibility Scale, a four-level framework separating generative sufficiency from mechanistic plausibility in LLM-based agent-based models.
Phenomenological modeling with observables for ion currents, temperature effects, and inductance provides a hybrid framework that brings mathematical descriptions of action potential propagation in axons closer to biological reality.
citing papers explorer
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Zero-shot World Models Are Developmentally Efficient Learners
A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
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Mechanism Plausibility in Generative Agent-Based Modeling
Introduces the Mechanism Plausibility Scale, a four-level framework separating generative sufficiency from mechanistic plausibility in LLM-based agent-based models.
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On phenomenology of physical effects in axons
Phenomenological modeling with observables for ion currents, temperature effects, and inductance provides a hybrid framework that brings mathematical descriptions of action potential propagation in axons closer to biological reality.