{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:16:21Z","timestamp":1742912181044,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030183042"},{"type":"electronic","value":"9783030183059"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-18305-9_4","type":"book-chapter","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T14:15:30Z","timestamp":1558361730000},"page":"42-54","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploiting Symmetry of Independence in d-Separation"],"prefix":"10.1007","author":[{"given":"Cory J.","family":"Butz","sequence":"first","affiliation":[]},{"given":"Andr\u00e9 E.","family":"dos Santos","sequence":"additional","affiliation":[]},{"given":"Jhonatan S.","family":"Oliveira","sequence":"additional","affiliation":[]},{"given":"Anders L.","family":"Madsen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,4,24]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511811357","volume-title":"Modeling and Reasoning with Bayesian Networks","author":"A Darwiche","year":"2009","unstructured":"Darwiche, A.: Modeling and Reasoning with Bayesian Networks. Cambridge University Press, New York (2009)"},{"key":"4_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1979.tb01052.x","volume":"41","author":"AP Dawid","year":"1979","unstructured":"Dawid, A.P.: Conditional independence in statistical theory. J. R. Stat. Soc. Ser. B (Methodol.) 41, 1\u201331 (1979)","journal-title":"J. R. Stat. Soc. Ser. B (Methodol.)"},{"doi-asserted-by":"crossref","unstructured":"Geiger, D., Verma, T.S., Pearl, J.: d-separation: from theorems to algorithms. In: Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence, pp. 139\u2013148 (1989)","key":"4_CR3","DOI":"10.1016\/B978-0-444-88738-2.50018-X"},{"key":"4_CR4","volume-title":"Deep Learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning. MIT Press, Cambridge (2016)"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.artint.2017.05.004","volume":"252","author":"RC Holte","year":"2017","unstructured":"Holte, R.C., Felner, A., Sharon, G., Sturtevant, N.R., Chen, J.: MM: a bidirectional search algorithm that is guaranteed to meet in the middle. Artif. Intell. 252, 232\u2013266 (2017)","journal-title":"Artif. Intell."},{"key":"4_CR6","volume-title":"Probabilistic Graphical Models: Principles and Techniques","author":"D Koller","year":"2009","unstructured":"Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press, Cambridge (2009)"},{"key":"4_CR7","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1002\/net.3230200503","volume":"20","author":"SL Lauritzen","year":"1990","unstructured":"Lauritzen, S.L., Dawid, A.P., Larsen, B.N., Leimer, H.G.: Independence properties of directed Markov fields. Networks 20, 491\u2013505 (1990)","journal-title":"Networks"},{"issue":"1\u20132","key":"4_CR8","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S0004-3702(99)00062-4","volume":"113","author":"AL Madsen","year":"1999","unstructured":"Madsen, A.L., Jensen, F.V.: Lazy propagation: a junction tree inference algorithm based on lazy evaluation. Artif. Intell. 113(1\u20132), 203\u2013245 (1999)","journal-title":"Artif. Intell."},{"unstructured":"Mohan, K., Pearl, J.: On the testability of models with missing data. In: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, vol. 33 (2014)","key":"4_CR9"},{"key":"4_CR10","volume-title":"Probabilistic Methods for Bioinformatics: With an Introduction to Bayesian Networks","author":"RE Neapolitan","year":"2009","unstructured":"Neapolitan, R.E.: Probabilistic Methods for Bioinformatics: With an Introduction to Bayesian Networks. Morgan Kaufmann, San Francisco (2009)"},{"unstructured":"Nobandegani, A.S., Psaromiligkos, I.N.: A rational distributed process-level account of independence judgment. arXiv preprint arXiv:1801.10186 (2018)","key":"4_CR11"},{"key":"4_CR12","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/0004-3702(86)90072-X","volume":"29","author":"J Pearl","year":"1986","unstructured":"Pearl, J.: Fusion, propagation and structuring in belief networks. Artif. Intell. 29, 241\u2013288 (1986)","journal-title":"Artif. Intell."},{"key":"4_CR13","volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"J Pearl","year":"1988","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Francisco (1988)"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/0004-3702(93)90169-C","volume":"59","author":"J Pearl","year":"1993","unstructured":"Pearl, J.: Belief networks revisited. Artif. Intell. 59, 49\u201356 (1993)","journal-title":"Artif. Intell."},{"key":"4_CR15","volume-title":"Causal Inference in Statistics: A Primer","author":"J Pearl","year":"2016","unstructured":"Pearl, J.: Causal Inference in Statistics: A Primer. Wiley, Hoboken (2016)"},{"issue":"4","key":"4_CR16","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1214\/14-STS486","volume":"29","author":"J Pearl","year":"2014","unstructured":"Pearl, J., Bareinboim, E.: External validity: from do-calculus to transportability across populations. Stat. Sci. 29(4), 579\u2013595 (2014)","journal-title":"Stat. Sci."},{"unstructured":"Shachter, R.D.: Bayes-ball: the rational pastime (for determining irrelevance and requisite information in belief networks and influence diagrams). In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 480\u2013487. Morgan Kaufmann Publishers Inc. (1998)","key":"4_CR17"},{"key":"4_CR18","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139979573","volume-title":"Cause and Correlation in Biology","author":"B Shipley","year":"2016","unstructured":"Shipley, B.: Cause and Correlation in Biology. Cambridge University Press, Cambridge (2016)"}],"container-title":["Lecture Notes in Computer Science","Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-18305-9_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T08:31:39Z","timestamp":1721291499000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-18305-9_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030183042","9783030183059"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-18305-9_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"24 April 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Canadian AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canadian Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kingston, ON","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"canadianai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.caiac.ca\/en\/conferences\/canadianai-2019\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}