{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:00:35Z","timestamp":1740099635789,"version":"3.37.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030406158"},{"type":"electronic","value":"9783030406165"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-40616-5_3","type":"book-chapter","created":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T06:02:59Z","timestamp":1581573779000},"page":"32-42","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Are Humans Bayesian in the Optimization of Black-Box Functions?"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1431-576X","authenticated-orcid":false,"given":"Antonio","family":"Candelieri","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0117-2237","authenticated-orcid":false,"given":"Riccardo","family":"Perego","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6065-0473","authenticated-orcid":false,"given":"Ilaria","family":"Giordani","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1131-3830","authenticated-orcid":false,"given":"Francesco","family":"Archetti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,14]]},"reference":[{"key":"3_CR1","series-title":"Springer Optimization and Its Applications","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-3-030-12767-1_5","volume-title":"Approximation and Optimization","author":"SP Adam","year":"2019","unstructured":"Adam, S.P., Alexandropoulos, S.A.N., Pardalos, P.M., Vrahatis, M.N.: No free lunch theorem: a review. In: Demetriou, I.C., Pardalos, P.M. (eds.) Approximation and Optimization. SOIA, vol. 145, pp. 57\u201382. Springer, Cham (2019). \nhttps:\/\/doi.org\/10.1007\/978-3-030-12767-1_5"},{"issue":"2\u20133","key":"3_CR2","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1023\/A:1013689704352","volume":"47","author":"P Auer","year":"2002","unstructured":"Auer, P., Cesa-Bianchi, N., Fischer, P.: Finite-time analysis of the multiarmed bandit problem. Mach. Learn. 47(2\u20133), 235\u2013256 (2002)","journal-title":"Mach. Learn."},{"key":"3_CR3","unstructured":"Borji, A., Itti, L.: Bayesian optimization explains human active search. In: Advances in Neural Information Processing System 26 (NIPS 2013), pp. 55\u201363 (2013)"},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10898-018-0641-2","volume":"71","author":"A Candelieri","year":"2018","unstructured":"Candelieri, A., Perego, R., Archetti, F.: Bayesian optimization of pump operations in water distribution systems. J. Glob. Optim. 71, 213\u2013235 (2018)","journal-title":"J. Glob. Optim."},{"key":"3_CR5","unstructured":"Chapelle, O., Li, L.: An empirical evaluation of thompson sampling. In: Advances in Neural Information Processing Systems, pp. 2249\u20132257 (2011)"},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1613\/jair.1.11420","volume":"64","author":"K Eggensperger","year":"2019","unstructured":"Eggensperger, K., Lindauer, M., Hutter, F.: Pitfalls and best practices in algorithm configuration. J. Artif. Intell. Res. 64, 861\u2013893 (2019)","journal-title":"J. Artif. Intell. Res."},{"key":"3_CR7","doi-asserted-by":"publisher","unstructured":"Gershman, S.J.: Uncertainty and exploration. bioRxiv 265504 (2018). \nhttps:\/\/doi.org\/10.1101\/265504","DOI":"10.1101\/265504"},{"issue":"30","key":"3_CR8","doi-asserted-by":"publisher","first-page":"7892","DOI":"10.1073\/pnas.1700811114","volume":"114","author":"A Gopnik","year":"2017","unstructured":"Gopnik, A., O\u2019Grady, S., Lucas, C.G., Griffiths, T.L., Wente, A., Bridgers, S., Dahl, R.E.: Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood. Proc. Nat. Acad. Sci. 114(30), 7892\u20137899 (2017)","journal-title":"Proc. Nat. Acad. Sci."},{"issue":"3","key":"3_CR9","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3758\/LB.36.3.210","volume":"36","author":"JK Kruschke","year":"2008","unstructured":"Kruschke, J.K.: Bayesian approaches to associative learning: from passive to active learning. Learn. Behav. 36(3), 210\u2013226 (2008)","journal-title":"Learn. Behav."},{"issue":"4","key":"3_CR10","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1023\/A:1008306431147","volume":"13","author":"DR Jones","year":"1998","unstructured":"Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. Glob. Optim. 13(4), 455\u2013492 (1998)","journal-title":"J. Glob. Optim."},{"key":"3_CR11","unstructured":"Li, K., Malik, J.: Learning to optimize. (2016) arXiv preprint \narXiv:1606.01885"},{"issue":"Jun","key":"3_CR12","first-page":"2069","volume":"13","author":"BC May","year":"2012","unstructured":"May, B.C., Korda, N., Lee, A., Leslie, D.S.: Optimistic Bayesian sampling in contextual-bandit problems. J. Mach. Learn. Res. 13(Jun), 2069\u20132106 (2012)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"3_CR13","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1037\/dec0000033","volume":"2","author":"K Mehlhorn","year":"2015","unstructured":"Mehlhorn, K., Newell, B.R., Todd, P.M., Lee, M.D., Morgan, K., Braithwaite, V.A., Gonzalez, C.: Unpacking the exploration\u2013exploitation tradeoff: a synthesis of human and animal literatures. Decision 2(3), 191 (2015)","journal-title":"Decision"},{"key":"3_CR14","unstructured":"Gershman, S.J.: Quantifying mismatch in Bayesian optimization. In: NIPS Workshop on Bayesian Optimization: Black-Box Optimization and Beyond (2016)"},{"key":"3_CR15","unstructured":"Schulz, E., Tenenbaum, J., Duvenaud, D.K., Speekenbrink, M., Gershman, S.J.: Probing the compositionality of intuitive functions. In: Advances in Neural Information Processing Systems, pp. 3729\u20133737 (2016)"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jmp.2018.03.001","volume":"85","author":"E Schulz","year":"2018","unstructured":"Schulz, E., Speekenbrink, M., Krause, A.: A tutorial on Gaussian process regression: modelling, exploring, and exploiting functions. J. Math. Psychol. 85, 1\u201316 (2018)","journal-title":"J. Math. Psychol."},{"key":"3_CR17","unstructured":"Srinivas, N., Krause, A., Kakade, S., Seeger, M.: Gaussian process optimization in the bandit setting: no regret and experimental design. In: Proceedings of the 27th International Conference on Machine Learning, pp. 1015\u20131022. Omnipress, June 2010"},{"issue":"3\/4","key":"3_CR18","doi-asserted-by":"publisher","first-page":"285","DOI":"10.2307\/2332286","volume":"25","author":"WR Thompson","year":"1933","unstructured":"Thompson, W.R.: On the likelihood that one unknown probability exceeds another in view of the evidence of two samples. Biometrika 25(3\/4), 285\u2013294 (1933)","journal-title":"Biometrika"},{"issue":"6","key":"3_CR19","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1037\/a0038199","volume":"143","author":"RC Wilson","year":"2014","unstructured":"Wilson, R.C., Geana, A., White, J.M., Ludvig, E.A., Cohen, J.D.: Humans use directed and random exploration to solve the explore\u2013exploit dilemma. J. Exp. Psychol. Gen. 143(6), 2074 (2014)","journal-title":"J. Exp. Psychol. Gen."},{"issue":"12","key":"3_CR20","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1038\/s41562-018-0467-4","volume":"2","author":"CM Wu","year":"2018","unstructured":"Wu, C.M., Schulz, E., Speekenbrink, M., Nelson, J.D., Meder, B.: Generalization guides human exploration in vast decision spaces. Nat. Hum. Behav. 2(12), 915 (2018)","journal-title":"Nat. Hum. Behav."},{"key":"3_CR21","volume-title":"Stochastic Global Optimization","author":"A Zhigljavsky","year":"2007","unstructured":"Zhigljavsky, A., Zilinskas, A.: Stochastic Global Optimization, vol. 9. Springer, Berlin (2007). \nhttps:\/\/doi.org\/10.1007\/978-0-387-74740-8"}],"container-title":["Lecture Notes in Computer Science","Numerical Computations: Theory and Algorithms"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-40616-5_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,13]],"date-time":"2020-02-13T06:04:24Z","timestamp":1581573864000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-40616-5_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030406158","9783030406165"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-40616-5_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"14 February 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NUMTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Numerical Computations: Theory and Algorithms","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Crotone","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"15 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"numta2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/si.deis.unical.it\/~yaro\/numta2019\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}