Jerome Busemeyer

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Emmanuel M. PothosCity University LondonVerified email at city.ac.uk
Julie C. StoutProfessor, School of Psychological Science, Monash University, Victoria, AustraliaVerified email at monash.edu
Jennifer TruebloodIndiana UniversityVerified email at iu.edu
James T TownsendDistinguished Professor, Emeritus, Indiana UniversityVerified email at indiana.edu
Timothy J. PleskacIndiana UniversityVerified email at indiana.edu
Adele DiederichProfessor of Psychology, Carl von Ossietzky University OldenburgVerified email at jacobs-university.de
Woo-Young (Young) AhnSeoul National UniversityVerified email at snu.ac.kr
Joseph JohnsonMiami UniversityVerified email at miamioh.edu
Eldad YechiamProfessor of Behavioral Science, TechnionVerified email at tx.technion.ac.il
Peter D. KvamOhio State UniversityVerified email at osu.edu
Ryan K JessupAbilene Christian UniversityVerified email at acu.edu
Jörg RieskampUniversity of BaselVerified email at unibas.ch
Anthony BisharaPsychology, College of CharlestonVerified email at cofc.edu
Jared M. HotalingUniversity of IllinoisVerified email at illinois.edu
Jay MyungProfessor, Department of Psychology, Ohio State UniversityVerified email at osu.edu
Rachel BarkanBen Gurion University of the NegevVerified email at bgu.ac.il
James YearsleyLecturer in Psychology, City, University of LondonVerified email at city.ac.uk
Junyi DaiProfessor of Psychology, Zhejiang UniversityVerified email at zju.edu.cn
Jasmin VassilevaProfessor of Psychiatry and Psychology, Virginia Commonwealth UniversityVerified email at vcu.edu
Brandon TurnerThe Ohio State UniversityVerified email at osu.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	2553	1993
Quantum Models of Cognition and Decision J Busemeyer Cambridge University Press, 2012	1543	2012
Multialternative decision field theory: A dynamic connectionst model of decision making. RM Roe, JR Busemeyer, JT Townsend Psychological review 108 (2), 370, 2001	1089	2001
Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. TJ Pleskac, JR Busemeyer Psychological review 117 (3), 864, 2010	874	2010
Analysis of multiplicative combination rules when the causal variables are measured with error. JR Busemeyer, LE Jones Psychological Bulletin 93 (3), 549, 1983	669	1983
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	656	2009
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	635	2002
A quantum theoretical explanation for probability judgment errors. JR Busemeyer, EM Pothos, R Franco, JS Trueblood Psychological review 118 (2), 193, 2011	592	2011
Can quantum probability provide a new direction for cognitive modeling? EM Pothos, JR Busemeyer Behavioral and brain sciences 36 (3), 255-274, 2013	536	2013
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	486	2006
Cognitive modeling JR Busemeyer, A Diederich Sage, 2010	426	2010
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	425	2005
Model comparisons and model selections based on generalization criterion methodology JR Busemeyer, YM Wang Journal of Mathematical Psychology 44 (1), 171-189, 2000	351	2000
Survey of decision field theory JR Busemeyer, A Diederich Mathematical social sciences 43 (3), 345-370, 2002	350	2002
Not just for consumers: Context effects are fundamental to decision making JS Trueblood, SD Brown, A Heathcote, JR Busemeyer Psychological science 24 (6), 901-908, 2013	319	2013
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	318	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	317	1997
Decision making under uncertainty: a comparison of simple scalability, fixed-sample, and sequential-sampling models. JR Busemeyer Journal of Experimental Psychology: Learning, Memory, and Cognition 11 (3), 538, 1985	305	1985
Comparison of decision learning models using the generalization criterion method WY Ahn, JR Busemeyer, EJ Wagenmakers, JC Stout Cognitive science 32 (8), 1376-1402, 2008	299	2008
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	289	1992

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