DocumentCode
3018319
Title
Learning and the language of thought
Author
Goodman, Noah D.
Author_Institution
Depts. of Psychol. & (by courtesy) Comput. Sci., Stanford Univ., Stanford, CA, USA
fYear
2011
fDate
6-13 Nov. 2011
Firstpage
694
Lastpage
694
Abstract
Logic and probability are key themes of cognitive science that have long had an uneasy coexistence. This paper describe the probabilistic language of thought approach that brings them together into compositional representations with probabilistic meaning formalized as stochastic lambda calculus. It will describe how this general framework is realized in the probabilistic programming language Church.
Keywords
learning (artificial intelligence); programming languages; compositional representations; learning; probabilistic language of thought approach; probabilistic meaning; probabilistic programming language Church; stochastic lambda calculus; Calculus; Cognitive science; Conferences; Humans; Merging; Probabilistic logic; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4673-0062-9
Type
conf
DOI
10.1109/ICCVW.2011.6130313
Filename
6130313
Link To Document