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Induction and Inquiry via Probabilistic Reasoning over Language and Code
Not provided in the abstract
probabilistic reasoninginductive learningBayesian learninglanguage and code integration
2609.01815
Builder Relevance
2h ago70%
Abstract
This paper presents a computational model that effectively captures human-like inductive learning and inquiry through the integration of natural language and code.
Reality Card
Core Claim
The proposed model successfully reproduces human inductive learning behaviors while being more data-efficient and computationally efficient than existing models.
Method / Result
The model reproduces quantitative signatures of human inductive learning across various behavioral studies.
Limitations
The paper does not specify the authors or provide detailed methodology, which may hinder reproducibility.
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