Open AccessDissertation
Learning and the language of thought
TLDR
An inductive statistical model is presented over a compositionally structured representation system, a language of thought (LOT) (Fodor, 1975), that formalizes an optimal Bayesian trade-off between representational complexity and fit to the observed data.Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2011.read more
Citations
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Journal Article
The learnability of abstract syntactic principles
TL;DR: This article used a Bayesian framework for grammar induction and showed that an ideal learner could recognize the hierarchical phrase structure of language without having this knowledge innately specified as part of the language faculty.
Posted Content
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis,Catherine Wong,Maxwell Nye,Mathias Sablé-Meyer,Luc Cary,Lucas Morales,Luke B. Hewitt,Armando Solar-Lezama,Joshua B. Tenenbaum +8 more
TL;DR: DreamCoder is presented, a system that learns to solve problems by writing programs that builds expertise by creating programming languages for expressing domain concepts, together with neural networks to guide the search for programs within these languages.
Journal ArticleDOI
Grammatical morphology as a source of early number word meanings
Alhanouf Almoammer,Jessica Sullivan,Chris Donlan,Franc Marušič,Rok Žaucer,Timothy J. O'Donnell,David Barner +6 more
TL;DR: Although exposure to counting is important to learning number word meanings, hearing number words used outside of these routines—in the quantificational structures of language—may also be highly important in early acquisition.
Journal ArticleDOI
Holistic Reinforcement Learning: The Role of Structure and Attention.
TL;DR: This work proposes an integration of Bayesian cognitive models in which structured knowledge learned via approximate Bayesian inference acts as a source of selective attention, which biases reinforcement learning towards relevant dimensions of the environment.
References
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Book
Elements of information theory
Thomas M. Cover,Joy A. Thomas +1 more
TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
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Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.