{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T12:41:58Z","timestamp":1726058518566},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811513978"},{"type":"electronic","value":"9789811513985"}],"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\/978-981-15-1398-5_13","type":"book-chapter","created":{"date-parts":[[2019,11,9]],"date-time":"2019-11-09T06:03:27Z","timestamp":1573279407000},"page":"181-194","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Learning Preferences in a Cognitive Decision Model"],"prefix":"10.1007","author":[{"given":"Taher","family":"Rahgooy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K. Brent","family":"Venable","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,10]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Bengio, Y., Boulanger-Lewandowski, N., Pascanu, R.: Advances in optimizing recurrent networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 8624\u20138628. IEEE (2013)","DOI":"10.1109\/ICASSP.2013.6639349"},{"key":"13_CR2","unstructured":"Bergen, L., Evans, O., Tenenbaum, J.: Learning structured preferences. In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 32 (2010)"},{"issue":"3","key":"13_CR3","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/S0165-4896(02)00016-1","volume":"43","author":"JR Busemeyer","year":"2002","unstructured":"Busemeyer, J.R., Diederich, A.: Survey of decision field theory. Math. Soc. Sci. 43(3), 345\u2013370 (2002)","journal-title":"Math. Soc. Sci."},{"issue":"3","key":"13_CR4","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1037\/0033-295X.100.3.432","volume":"100","author":"JR Busemeyer","year":"1993","unstructured":"Busemeyer, J.R., Townsend, J.T.: Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. Psychol. Rev. 100(3), 432 (1993)","journal-title":"Psychol. Rev."},{"key":"13_CR5","volume-title":"New Developments in Probabilistic Choice Modeling","author":"G Soete De","year":"1989","unstructured":"De Soete, G., Feger, H., Klauer, K.C.: New Developments in Probabilistic Choice Modeling. North-Holland, Amsterdam (1989)"},{"key":"13_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-30164-8","volume-title":"Preference Learning","author":"J F\u00fcrnkranz","year":"2010","unstructured":"F\u00fcrnkranz, J., H\u00fcllermeier, E.: Preference Learning. Springer, Boston (2010). https:\/\/doi.org\/10.1007\/978-0-387-30164-8"},{"key":"13_CR7","unstructured":"Hinton, G., Srivastava, N., Swersky, K.: Neural networks for machine learning lecture 6A overview of mini-batch gradient descent"},{"key":"13_CR8","doi-asserted-by":"crossref","unstructured":"Hotaling, J.M., Busemeyer, J.R., Li, J.: Theoretical developments in decision field theory: comment on Tsetsos, Usher, and Chater (2010)","DOI":"10.1037\/a0020401"},{"key":"13_CR9","volume-title":"Decisions with Multiple Objectives: Preference and Value Tradeoffs","author":"RL Keeney","year":"1976","unstructured":"Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives: Preference and Value Tradeoffs. Wiley, New York (1976)"},{"issue":"1\/2","key":"13_CR10","doi-asserted-by":"publisher","first-page":"81","DOI":"10.2307\/2332226","volume":"30","author":"MG Kendall","year":"1938","unstructured":"Kendall, M.G.: A new measure of rank correlation. Biometrika 30(1\/2), 81\u201393 (1938)","journal-title":"Biometrika"},{"issue":"11","key":"13_CR11","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1016\/j.artint.2010.04.019","volume":"174","author":"F Koriche","year":"2010","unstructured":"Koriche, F., Zanuttini, B.: Learning conditional preference networks. Artif. Intell. 174(11), 685\u2013703 (2010)","journal-title":"Artif. Intell."},{"key":"13_CR12","volume-title":"Information Theory and Statistics","author":"S Kullback","year":"1997","unstructured":"Kullback, S.: Information Theory and Statistics. Courier Corporation, North Chelmsford (1997)"},{"issue":"1","key":"13_CR13","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/18.61115","volume":"37","author":"J Lin","year":"1991","unstructured":"Lin, J.: Divergence measures based on the Shannon entropy. IEEE Trans. Inf. Theory 37(1), 145\u2013151 (1991)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"13_CR14","unstructured":"Paszke, A., et al.: Automatic differentiation in PyTorch. In: NIPS-W (2017)"},{"key":"13_CR15","unstructured":"Raedt, L.D., Passerini, A., Teso, S.: Learning constraints from examples. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI 2018), pp. 7965\u20137970. AAAI (2018)"},{"issue":"2","key":"13_CR16","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1037\/0033-295X.108.2.370","volume":"108","author":"RM Roe","year":"2001","unstructured":"Roe, R.M., Busemeyer, J.R., Townsend, J.T.: Multialternative decision field theory: a dynamic connectionst model of decision making. Psychol. Rev. 108(2), 370 (2001)","journal-title":"Psychol. Rev."},{"key":"13_CR17","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-01556-4","volume-title":"A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice","author":"F Rossi","year":"2011","unstructured":"Rossi, F., Venable, K., Walsh, T.: A Short Introduction to Preferences: Between Artificial Intelligence and Social Choice. Morgan and Claypool, San Rafael (2011)"},{"issue":"1","key":"13_CR18","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1080\/095281398146941","volume":"10","author":"F Rossi","year":"1998","unstructured":"Rossi, F., Sperduti, A.: Learning solution preferences in constraint problems. J. Exp. Theor. Artif. Intell. 10(1), 103\u2013116 (1998)","journal-title":"J. Exp. Theor. Artif. Intell."},{"issue":"6088","key":"13_CR19","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 533 (1986)","journal-title":"Nature"},{"key":"13_CR20","volume-title":"The Measurement of Values","author":"LL Thurstone","year":"1959","unstructured":"Thurstone, L.L.: The Measurement of Values. University of Chicago Press, Chicago (1959)"}],"container-title":["Communications in Computer and Information Science","Human Brain and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-1398-5_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T05:43:21Z","timestamp":1664862201000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-1398-5_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9789811513978","9789811513985"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-1398-5_13","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HBAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Human Brain and Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"12 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcaihbai2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ijcai-hbai.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}