A Probabilistic Programming Idiom for Active Knowledge Search

Malte R. Damgaard; Rasmus Pedersen; Thomas Bak

doi:10.1109/IJCNN55064.2022.9892094

A Probabilistic Programming Idiom for Active Knowledge Search

Malte R. Damgaard, Rasmus Pedersen, Thomas Bak

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

In this paper, we derive and implement a probabilistic programming idiom for the problem of acquiring new knowledge about an environment. The idiom is implemented utilizing a modern probabilistic programming language. We demonstrate the utility of this idiom by implementing an algorithm for the specific problem of active mapping and robot exploration. Finally, we evaluate the functionality of the implementation through an extensive simulation study utilizing the HouseExpo dataset.

Original language	English
Title of host publication	2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings
Number of pages	9
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	2022
Pages	1-9
ISBN (Electronic)	9781728186719
DOIs	https://doi.org/10.1109/IJCNN55064.2022.9892094
Publication status	Published - 2022
Event	2022 International Joint Conference on Neural Networks, IJCNN 2022 - Padua, Italy Duration: 18 Jul 2022 → 23 Jul 2022

Conference

Conference	2022 International Joint Conference on Neural Networks, IJCNN 2022
Country/Territory	Italy
City	Padua
Period	18/07/2022 → 23/07/2022

Series	Proceedings of the International Joint Conference on Neural Networks
Volume	2022-July

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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10.1109/IJCNN55064.2022.9892094

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1 Citations
1 Journal article

Toward an idiomatic framework for cognitive robotics
Damgaard, M. R., Pedersen, R. & Bak, T., 8 Jul 2022, In: Patterns. 3, 7, p. 1-18 18 p., 100533.
Research output: Contribution to journal › Journal article › Research › peer-review

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3 Citations (Scopus)

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Cite this

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title = "A Probabilistic Programming Idiom for Active Knowledge Search",

abstract = "In this paper, we derive and implement a probabilistic programming idiom for the problem of acquiring new knowledge about an environment. The idiom is implemented utilizing a modern probabilistic programming language. We demonstrate the utility of this idiom by implementing an algorithm for the specific problem of active mapping and robot exploration. Finally, we evaluate the functionality of the implementation through an extensive simulation study utilizing the HouseExpo dataset.",

author = "Damgaard, {Malte R.} and Rasmus Pedersen and Thomas Bak",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Joint Conference on Neural Networks, IJCNN 2022 ; Conference date: 18-07-2022 Through 23-07-2022",

year = "2022",

doi = "10.1109/IJCNN55064.2022.9892094",

language = "English",

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Damgaard, MR, Pedersen, R & Bak, T 2022, A Probabilistic Programming Idiom for Active Knowledge Search. in 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. IEEE (Institute of Electrical and Electronics Engineers), Proceedings of the International Joint Conference on Neural Networks, vol. 2022-July, pp. 1-9, 2022 International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, 18/07/2022. https://doi.org/10.1109/IJCNN55064.2022.9892094

A Probabilistic Programming Idiom for Active Knowledge Search. / Damgaard, Malte R.; Pedersen, Rasmus; Bak, Thomas.
2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. IEEE (Institute of Electrical and Electronics Engineers), 2022. p. 1-9 (Proceedings of the International Joint Conference on Neural Networks, Vol. 2022-July).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AB - In this paper, we derive and implement a probabilistic programming idiom for the problem of acquiring new knowledge about an environment. The idiom is implemented utilizing a modern probabilistic programming language. We demonstrate the utility of this idiom by implementing an algorithm for the specific problem of active mapping and robot exploration. Finally, we evaluate the functionality of the implementation through an extensive simulation study utilizing the HouseExpo dataset.

U2 - 10.1109/IJCNN55064.2022.9892094

DO - 10.1109/IJCNN55064.2022.9892094

M3 - Article in proceeding

AN - SCOPUS:85140718721

T3 - Proceedings of the International Joint Conference on Neural Networks

SP - 1

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BT - 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings

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T2 - 2022 International Joint Conference on Neural Networks, IJCNN 2022

Y2 - 18 July 2022 through 23 July 2022

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Damgaard MR, Pedersen R, Bak T. A Probabilistic Programming Idiom for Active Knowledge Search. In 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. IEEE (Institute of Electrical and Electronics Engineers). 2022. p. 1-9. (Proceedings of the International Joint Conference on Neural Networks, Vol. 2022-July). doi: 10.1109/IJCNN55064.2022.9892094

A Probabilistic Programming Idiom for Active Knowledge Search

Abstract

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Bibliographical note

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Research output

Toward an idiomatic framework for cognitive robotics

Cite this