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Learning list concepts through program induction

https://doi.org/10.1101/321505
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-30215-5_7openalex-snapshot
Inductive Inference of Term Rewriting Systems from Positive Data
inferredcites →https://doi.org/10.1007/s10462-009-9108-7openalex-snapshot
An introduction to inductive programming
inferredcites →https://doi.org/10.1016/0743-1066(94)90035-3openalex-snapshot
Inductive Logic Programming: Theory and methods
inferredcites →https://doi.org/10.1016/j.cogdev.2012.07.005openalex-snapshot
Theory learning as stochastic search in the language of thought
inferredcites →https://doi.org/10.1016/j.cognition.2011.11.005openalex-snapshot
Bootstrapping in a language of thought: A formal model of numerical concept learning
inferredcites →https://doi.org/10.1037/a0039980openalex-snapshot
The logical primitives of thought: Empirical foundations for compositional cognitive models.
inferredcites →https://doi.org/10.1037/e513702014-002openalex-snapshot
The Origin of Concepts
inferredcites →https://doi.org/10.1080/03640210701802071openalex-snapshot
A Rational Analysis of Rule‐Based Concept Learning
inferredcites →https://doi.org/10.1111/j.1475-4975.1987.tb00558.xopenalex-snapshot
Advertisement for a Semantics for Psychology
inferredcites →https://doi.org/10.1126/science.1192788openalex-snapshot
How to Grow a Mind: Statistics, Structure, and Abstraction
inferredcites →https://doi.org/10.1126/science.aab3050openalex-snapshot
Human-level concept learning through probabilistic program induction
inferredcites →https://doi.org/10.1561/2500000010openalex-snapshot
Program Synthesis
inferredcites →https://doi.org/10.4159/harvard.9780674866270openalex-snapshot
Categories and Concepts
inferredcites →https://doi.org/10.7551/mitpress/1602.001.0001openalex-snapshot
The Big Book of Concepts
inferredcites →https://doi.org/10.7551/mitpress/9383.001.0001openalex-snapshot
The Conceptual Mind

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-1-4899-7502-7_137-2openalex-snapshot
Inductive Programming
inferred← citeshttps://doi.org/10.1016/j.cognition.2023.105541openalex-snapshot
The Boolean Language of Thought is recoverable from learning data
inferred← citeshttps://doi.org/10.1016/j.cognition.2024.105990openalex-snapshot
Exploring the hierarchical structure of human plans via program generation
inferred← citeshttps://doi.org/10.1016/j.cogpsych.2022.101506openalex-snapshot
Algorithms of adaptation in inductive inference
inferred← citeshttps://doi.org/10.1016/j.jml.2025.104676openalex-snapshot
LLMs as models for analogical reasoning
inferred← citeshttps://doi.org/10.1016/j.tics.2020.07.005openalex-snapshot
The Child as Hacker
inferred← citeshttps://doi.org/10.1037/rev0000178openalex-snapshot
A theory of learning to infer.
inferred← citeshttps://doi.org/10.1111/tops.12703openalex-snapshot
Local Search and the Evolution of World Models
inferred← citeshttps://doi.org/10.1146/annurev-devpsych-121318-084833openalex-snapshot
Bayesian Models of Conceptual Development: Learning as Building Models of the World
inferred← citeshttps://doi.org/10.1162/coli_a_00528openalex-snapshot
Usage-based Grammar Induction from Minimal Cognitive Principles
inferred← citeshttps://doi.org/10.1201/9780203164587.ch3openalex-snapshot
Principles of human learning
inferred← citeshttps://doi.org/10.31234/osf.io/aq3rpopenalex-snapshot
Bayesian Models of Conceptual Development: Learning as Building Models of the World
inferred← citeshttps://doi.org/10.48550/arxiv.2103.05823openalex-snapshot
Fast and flexible: Human program induction in abstract reasoning tasks
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