Implementing a Library for Probabilistic Programming Using Non-strict Non-determinism
This paper presents PFLP , a library for probabilistic programming in the functional logic programming language Curry. It demonstrates how the concepts of a functional logic programming language support the implementation of a library for probabilistic programming. In fact, the paradigms of function...
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| Published in: | Theory and practice of logic programming Vol. 20; no. 1; pp. 147 - 175 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
01.01.2020
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| Subjects: | |
| ISSN: | 1471-0684, 1475-3081 |
| Online Access: | Get full text |
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| Summary: | This paper presents
PFLP
, a library for probabilistic programming in the functional logic programming language Curry. It demonstrates how the concepts of a functional logic programming language support the implementation of a library for probabilistic programming. In fact, the paradigms of functional logic and probabilistic programming are closely connected. That is, language characteristics from one area exist in the other and vice versa. For example, the concepts of non-deterministic choice and call-time choice as known from functional logic programming are related to and coincide with stochastic memoization and probabilistic choice in probabilistic programming, respectively. We will further see that an implementation based on the concepts of functional logic programming can have benefits with respect to performance compared to a standard list-based implementation and can even compete with full-blown probabilistic programming languages, which we illustrate by several benchmarks. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1471-0684 1475-3081 |
| DOI: | 10.1017/S1471068419000085 |