Skip to content
Free planNo credit card requiredStart writing

article · IEEE Transactions on Systems Man and Cybernetics · 1987

Convince: A Conversational Inference Consolidation Engine

Jin Hee Kim, Judea Pearl

Cited by 63Abstract and details only

Abstract

An operational domain-independent decision-aiding system for situation assessment tasks is described. The system elicits the user's perception of a given situation through a stylized English dialogue and focuses the user's attention on the issue of highest relevancy. Elicited problems are structured as networks where nodes represent variables and directed links represent causal relationships. The system uses a Bayesian inference procedure which combines causal and diagnostic reasoning using a bidirectional propagation of evidence in the form of belief parameters. Upon completion of the dialogue the system provides a formal structure representing relevant propositions, their interrelations, and their updated belief distributions.

Cite this paper

APA 7

Kim, J. H., & Pearl, J. (1987). Convince: A Conversational Inference Consolidation Engine. IEEE Transactions on Systems Man and Cybernetics, 17(2), 120–132. https://doi.org/10.1109/tsmc.1987.4309025

MLA 9

Kim, Jin Hee, and Judea Pearl. “Convince: A Conversational Inference Consolidation Engine.” IEEE Transactions on Systems Man and Cybernetics, vol. 17, no. 2, 1987, pp. 120–32, https://doi.org/10.1109/tsmc.1987.4309025.

Chicago

Kim, Jin Hee, and Judea Pearl. 1987. “Convince: A Conversational Inference Consolidation Engine.” IEEE Transactions on Systems Man and Cybernetics 17 (2): 120–32. https://doi.org/10.1109/tsmc.1987.4309025.

Harvard

Kim, J.H. and Pearl, J. (1987) ‘Convince: A Conversational Inference Consolidation Engine’, IEEE Transactions on Systems Man and Cybernetics, 17(2), pp. 120–132. Available at: https://doi.org/10.1109/tsmc.1987.4309025.

BibTeX
@article{kim1987convince,
  title = {{Convince: A Conversational Inference Consolidation Engine}},
  author = {Kim, Jin Hee and Pearl, Judea},
  journal = {IEEE Transactions on Systems Man and Cybernetics},
  volume = {17},
  number = {2},
  pages = {120--132},
  year = {1987},
  doi = {10.1109/tsmc.1987.4309025}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.