{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T12:14:20Z","timestamp":1725538460372},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642049200"},{"type":"electronic","value":"9783642049217"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-04921-7_35","type":"book-chapter","created":{"date-parts":[[2009,9,22]],"date-time":"2009-09-22T11:46:25Z","timestamp":1253619985000},"page":"340-349","source":"Crossref","is-referenced-by-count":1,"title":["Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts"],"prefix":"10.1007","author":[{"given":"Isaac Olusegun","family":"Osunmakinde","sequence":"first","affiliation":[]},{"given":"Antoine","family":"Bagula","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"35_CR1","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1109\/TEVC.2004.830334","volume":"8","author":"M.L. Wong","year":"2004","unstructured":"Wong, M.L., Leung, K.S.: An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach. IEEE Transactions on Evolutionary Computation\u00a08, 378\u2013404 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"35_CR2","unstructured":"Murphy, K.: Dynamic Bayesian networks representation, inference and learning, Ph.D thesis, UC Berkeley, Computer Science Division (2002)"},{"key":"35_CR3","first-page":"7458","volume-title":"Artificial Intelligence (A Modern Approach)","author":"S. Russell","year":"2003","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence (A Modern Approach), 2nd edn., p. 07458. Prentice Hall Series Inc., New Jersey (2003)","edition":"2"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Deviren, M., Daoudi, K.: Structural Learning of Dynamic Bayesian Networks in Speech Recognition. In: Proceedings of Eurospeech, Aalborg, Denmark (2001)","DOI":"10.21437\/Eurospeech.2001-209"},{"key":"35_CR5","volume-title":"Advances in NIPS","author":"P. Shenoy","year":"2005","unstructured":"Shenoy, P., Rao, R.P.N.: Dynamic Bayesian Networks for Brain-Computer Interfaces. In: Advances in NIPS, vol.\u00a017. MIT Press, Cambridge (2005)"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Silva, E., Plazaola, L., Ekstedt, M.: Strategic Business and IT Alignment: A Prioritized Theory Diagram. In: Proceedings of PICMET, Turkey (2006)","DOI":"10.1109\/PICMET.2006.296546"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Larranaga, P., Kuijpers, C., Murga, R., Yurramendi, Y.: Learning Bayesian Network Structures by Searching for the Best Ordering with Genetic Algorithms. IEEE Transactions on Systems, Man, and Cybernetics, 487\u2013493 (1996)","DOI":"10.1109\/3468.508827"},{"key":"35_CR8","unstructured":"Osunmakinde, I.O., Potgieter, A.: Emergence of Optimal Bayesian Networks from Datasets without Backtracking using an Evolutionary Algorithm. In: Proceedings of the Third IASTED International Conference on Computational Intelligence, Banff, Alberta, Canada, pp. 46\u201351. ACTA Press (2007) ISBN: 978-0-88986-672-0"},{"key":"35_CR9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1201\/b12461","volume-title":"Situation Awareness Analysis and measurement","author":"M.R. Endsley","year":"2000","unstructured":"Endsley, M.R.: Theoretical underpinnings of situation awareness: a critical review. In: Situation Awareness Analysis and measurement, pp. 3\u201332. Lawrence Erlbaum Associates, Mahwah (2000)"},{"key":"35_CR10","unstructured":"Cozman, F.: JavaBayes, Bayesian Networks in Java, University of Sao Paulo (2001), http:\/\/www.cs.cmu.edu\/~javabayes\/Home\/"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Balikuddembe, J.K., Osunmakinde, I.O., Potgieter, A.E.: Software Project Profitability Analysis Using Temporal Probabilistic Reasoning. In: IEEE CS proceedings of the International Conference on Advanced Software Engineering & Its Applications, Washington, pp. 99\u2013102 (2008) ISBN:978-0-7695-3432-9","DOI":"10.1109\/ASEA.2008.41"},{"key":"35_CR12","unstructured":"Newman, D., Hettich, S., Blake, C., Merz, C.: UCI Repository of Machine Learning Databases (University of California, Department of Information and Computer Science, Irvine, CA, (1998), http:\/\/www.ics.uci.edu\/~mlearn\/MLRepository.html"},{"key":"35_CR13","unstructured":"GeNle 2.0, Decision Systems Laboratory, University of Pittsburgh (2006), http:\/\/genie.sis.pitt.edu"},{"key":"35_CR14","unstructured":"R Development Core Team: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria (2008) ISBN 3-900051-07-0, http:\/\/www.R-project.org"}],"container-title":["Lecture Notes in Computer Science","Adaptive and Natural Computing Algorithms"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-04921-7_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T21:26:49Z","timestamp":1685136409000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-04921-7_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642049200","9783642049217"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-04921-7_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}