What is recorded here?
Introduced Church as a universal Lisp-like probabilistic programming language with evaluation-history semantics, conditional queries, stochastic memoization and generic exact or Monte Carlo inference schemes.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the five-author UAI 2008 paper. It introduces one probabilistic-programming language and examples; it does not originate all probabilistic programming or prove efficient inference for arbitrary programs. The PMLR page is a 2024 reissue of the 2008 proceedings work.
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People and systems
Noah D. Goodman; Vikash K. Mansinghka; Daniel M. Roy; Keith Bonawitz; Joshua B. Tenenbaum
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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Documented countries / regions: United States
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English catalogue narrative
Goodman and colleagues: Church, a language for generative models
Introduced Church as a universal Lisp-like probabilistic programming language with evaluation-history semantics, conditional queries, stochastic memoization and generic exact or Monte Carlo inference schemes.
Scientific scope
The record is the five-author UAI 2008 paper. It introduces one probabilistic-programming language and examples; it does not originate all probabilistic programming or prove efficient inference for arbitrary programs. The PMLR page is a 2024 reissue of the 2008 proceedings work.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Noah D. Goodman; Vikash K. Mansinghka; Daniel M. Roy; Keith Bonawitz; Joshua B. Tenenbaum
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.