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2020

Implementing a Library for Probabilistic Programming Using Non-Strict Non-Determinism

Dylus, S., Christiansen, J., & Teegen, F. (2020). Implementing a Library for Probabilistic Programming Using Non-Strict Non-Determinism. Theory and Practice of Logic Programming, 20, 147–175. http://doi.org/10.1017/S1471068419000085
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Christiansen, Jan

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Fachbereich 3: Information und Kommunikation
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2020

Journal Article

Sandra Dylus

Jan Christiansen

Finn Teegen

2019

One Monad to Prove Them All

Dylus, S., Christiansen, J., & Teegen, F. (2019). One Monad to Prove Them All. The Art, Science, and Engineering of Programming, 3. http://doi.org/10.22152/programming-journal.org/2019/3/8

Abstract

One Monad to Prove Them All is a modern fairy tale about curiosity and perseverance, two important properties of a successful PhD student. We follow the PhD student Mona on her adventure of proving properties about Haskell programs in the proof assistant Coq. On the one hand, as a PhD student in computer science Mona observes an increasing demand for correct software products. In particular, because of the large amount of existing software, verifying existing software products becomes more important. Verifying programs in the functional programming language Haskell is no exception. On the other hand, Mona is delighted to see that communities in the area of theorem proving are becoming popular. Thus, Mona sets out to learn more about the interactive theorem prover Coq and verifying Haskell programs in Coq.
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Christiansen, Jan

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Fachbereich 3: Information und Kommunikation
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2019

Journal Article

Sandra Dylus

Jan Christiansen

Finn Teegen

2018

Probabilistic Functional Logic Programming

Dylus, S., Christiansen, J., & Teegen, F. (2018). Probabilistic Functional Logic Programming. In Practical Aspects of Declarative Languages (S. 3–19). Springer International Publishing.

Abstract

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, we can apply techniques from one area to the other and vice versa. We will 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.
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Exportformate

BibTeX

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Personenseiten

Christiansen, Jan

Fachbereich

Fachbereich 3: Information und Kommunikation
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2018

Conference Paper

Sandra Dylus

Jan Christiansen

Finn Teegen