Refining a heuristic for constructing Bayesian networks from structured arguments

G.M. Wieten; F.J. Bex; L.C. van der Gaag; H. Prakken; S. Renooij

doi:10.1007/978-3-319-76892-2_3

Refining a heuristic for constructing Bayesian networks from structured arguments

G.M. Wieten^*, F.J. Bex, L.C. van der Gaag, H. Prakken, S. Renooij

^*Corresponding author for this work

Sub Decision Support Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.

Original language	English
Title of host publication	Artificial Intelligence
Subtitle of host publication	29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers
Editors	Bart Verheij, Marco Wiering
Place of Publication	Cham
Publisher	Springer
Pages	32-45
Number of pages	14
Edition	1
ISBN (Electronic)	978-3-319-76892-2
ISBN (Print)	978-3-319-76891-5
DOIs	https://doi.org/10.1007/978-3-319-76892-2_3
Publication status	Published - 25 Feb 2018

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	823
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Keywords

Structured argumentation
Bayesian networks

Access to Document

10.1007/978-3-319-76892-2_3

978-3-319-76892-2_3Final published version, 506 KBLicence: Taverne

Cite this

Wieten, G. M., Bex, F. J., van der Gaag, L. C., Prakken, H., & Renooij, S. (2018). Refining a heuristic for constructing Bayesian networks from structured arguments. In B. Verheij, & M. Wiering (Eds.), Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers (1 ed., pp. 32-45). (Communications in Computer and Information Science; Vol. 823). Springer. https://doi.org/10.1007/978-3-319-76892-2_3

Wieten, G.M. ; Bex, F.J. ; van der Gaag, L.C. et al. / Refining a heuristic for constructing Bayesian networks from structured arguments. Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. editor / Bart Verheij ; Marco Wiering. 1. ed. Cham : Springer, 2018. pp. 32-45 (Communications in Computer and Information Science).

@inproceedings{f2d91ac8b4ce4c17bc1e2b225b8bca53,

title = "Refining a heuristic for constructing Bayesian networks from structured arguments",

abstract = "Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.",

keywords = "Structured argumentation, Bayesian networks",

author = "G.M. Wieten and F.J. Bex and {van der Gaag}, L.C. and H. Prakken and S. Renooij",

year = "2018",

month = feb,

day = "25",

doi = "10.1007/978-3-319-76892-2_3",

language = "English",

isbn = "978-3-319-76891-5",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "32--45",

editor = "Bart Verheij and Marco Wiering",

booktitle = "Artificial Intelligence",

edition = "1",

}

Wieten, GM, Bex, FJ, van der Gaag, LC, Prakken, H & Renooij, S 2018, Refining a heuristic for constructing Bayesian networks from structured arguments. in B Verheij & M Wiering (eds), Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. 1 edn, Communications in Computer and Information Science, vol. 823, Springer, Cham, pp. 32-45. https://doi.org/10.1007/978-3-319-76892-2_3

Refining a heuristic for constructing Bayesian networks from structured arguments. / Wieten, G.M.; Bex, F.J.; van der Gaag, L.C. et al.
Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. ed. / Bart Verheij; Marco Wiering. 1. ed. Cham: Springer, 2018. p. 32-45 (Communications in Computer and Information Science; Vol. 823).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Refining a heuristic for constructing Bayesian networks from structured arguments

AU - Wieten, G.M.

AU - Bex, F.J.

AU - van der Gaag, L.C.

AU - Prakken, H.

AU - Renooij, S.

PY - 2018/2/25

Y1 - 2018/2/25

N2 - Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.

AB - Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.

KW - Structured argumentation

KW - Bayesian networks

U2 - 10.1007/978-3-319-76892-2_3

DO - 10.1007/978-3-319-76892-2_3

M3 - Conference contribution

SN - 978-3-319-76891-5

T3 - Communications in Computer and Information Science

SP - 32

EP - 45

BT - Artificial Intelligence

A2 - Verheij, Bart

A2 - Wiering, Marco

PB - Springer

CY - Cham

ER -

Wieten GM, Bex FJ, van der Gaag LC, Prakken H , Renooij S. Refining a heuristic for constructing Bayesian networks from structured arguments. In Verheij B, Wiering M, editors, Artificial Intelligence: 29th Benelux Conference, BNAIC 2017, Groningen, The Netherlands, November 8–9, 2017, Revised Selected Papers. 1 ed. Cham: Springer. 2018. p. 32-45. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-76892-2_3

Refining a heuristic for constructing Bayesian networks from structured arguments

Abstract

Publication series

Keywords

Access to Document

Fingerprint

Cite this