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
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;
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-0062-9
DOI :
10.1109/ICCVW.2011.6130313
