Jerome Busemeyer

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Emmanuel M. PothosCity University LondonVerified email at city.ac.uk
Zheng (Joyce) WangSchool of Communication, Translational Data Analytics Institute, Center for Brain and CognitiveVerified email at osu.edu
Julie C. StoutProfessor, School of Psychological Science, Monash University, Victoria, AustraliaVerified email at monash.edu
Jennifer TruebloodVanderbilt UniversityVerified email at vanderbilt.edu
Timothy J. PleskacUniversity of KansasVerified email at ku.edu
Adele DiederichProfessor of Psychology, Jacobs University BremenVerified email at jacobs-university.de
Eldad YechiamProfessor of Behavioral Science, TechnionVerified email at tx.technion.ac.il
Woo-Young AhnSeoul National UniversityVerified email at snu.ac.kr
Joseph JohnsonMiami UniversityVerified email at miamioh.edu
Peter BruzaProfessor of Information Systems, Queensland University of TechnologyVerified email at qut.edu.au
Ryan K JessupAbilene Christian UniversityVerified email at acu.edu
Jay MyungProfessor, Department of Psychology, Ohio State UniversityVerified email at osu.edu
Peter D. KvamUniversity of FloridaVerified email at ufl.edu
Anthony BisharaPsychology, College of CharlestonVerified email at cofc.edu
Jörg RieskampUniversity of BaselVerified email at unibas.ch
Jared M. HotalingUniversity of IllinoisVerified email at illinois.edu
Pegah FakhariDepartment Of Social and Decision Sciences, Carnegie Mellon UniversityVerified email at indiana.edu
Douglas MedinProfessorVerified email at northwestern.edu
James YearsleyLecturer in Psychology, City, University of LondonVerified email at city.ac.uk
Joshua W. BrownIndiana UniversityVerified email at indiana.edu

Jerome Busemeyer

Indiana University

Verified email at indiana.edu - Homepage

Decision Making Cognitive Science mathematical models quantum cognition


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Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. JR Busemeyer, JT Townsend Psychological review 100 (3), 432, 1993	2101	1993
Quantum models of cognition and decision JR Busemeyer, PD Bruza Cambridge University Press, 2012	1019	2012
Quantum models of cognition and decision JR Busemeyer, PD Bruza Cambridge University Press, 2012	1019	2012
Multialternative decision field theory: A dynamic connectionst model of decision making. RM Roe, JR Busemeyer, JT Townsend Psychological review 108 (2), 370, 2001	834	2001
Time pressure and stress in human judgment and decision making O Svenson, AJ Maule Springer Science & Business Media, 1993	614	1993
Analysis of multiplicative combination rules when the causal variables are measured with error. JR Busemeyer, LE Jones Psychological Bulletin 93 (3), 549, 1983	596	1983
Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. TJ Pleskac, JR Busemeyer Psychological review 117 (3), 864, 2010	594	2010
A contribution of cognitive decision models to clinical assessment: decomposing performance on the Bechara gambling task. JR Busemeyer, JC Stout Psychological assessment 14 (3), 253, 2002	546	2002
Quantum dynamics of human decision-making JR Busemeyer, Z Wang, JT Townsend Journal of Mathematical Psychology 50 (3), 220-241, 2006	514	2006
A quantum probability explanation for violations of ‘rational’decision theory EM Pothos, JR Busemeyer Proceedings of the Royal Society B: Biological Sciences 276 (1665), 2171-2178, 2009	500	2009
A quantum theoretical explanation for probability judgment errors. JR Busemeyer, EM Pothos, R Franco, JS Trueblood Psychological review 118 (2), 193, 2011	483	2011
Extending the bounds of rationality: evidence and theories of preferential choice J Rieskamp, JR Busemeyer, BA Mellers Journal of Economic Literature 44 (3), 631-661, 2006	386	2006
Can quantum probability provide a new direction for cognitive modeling? EM Pothos, JR Busemeyer Behavioral and brain sciences 36 (3), 255-274, 2013	377	2013
Using cognitive models to map relations between neuropsychological disorders and human decision-making deficits E Yechiam, JR Busemeyer, JC Stout, A Bechara Psychological science 16 (12), 973-978, 2005	350	2005
Cognitive modeling JR Busemeyer, A Diederich Sage, 2010	316	2010
Model comparisons and model selections based on generalization criterion methodology JR Busemeyer, YM Wang Journal of Mathematical Psychology 44 (1), 171-189, 2000	294	2000
An adaptive approach to human decision making: Learning theory, decision theory, and human performance. JR Busemeyer, IJ Myung Journal of Experimental Psychology: General 121 (2), 177, 1992	276	1992
Survey of decision field theory JR Busemeyer, A Diederich Mathematical social sciences 43 (3), 345-370, 2002	272	2002
Older adults as adaptive decision makers: evidence from the Iowa Gambling Task. S Wood, J Busemeyer, A Koling, CR Cox, H Davis Psychology and aging 20 (2), 220, 2005	262	2005
Extrapolation: the sine qua non for abstraction in function learning. EL DeLosh, JR Busemeyer, MA McDaniel Journal of Experimental Psychology: Learning, Memory, and Cognition 23 (4), 968, 1997	262	1997

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