| Year |
Citation |
Score |
| 2023 |
Zheng R, Busemeyer JR, Nosofsky RM. Integrating Categorization and Decision-Making. Cognitive Science. 47: e13235. PMID 36655984 DOI: 10.1111/cogs.13235 |
0.461 |
|
| 2022 |
Pothos EM, Busemeyer JR. Quantum Cognition. Annual Review of Psychology. 73: 749-778. PMID 34546804 DOI: 10.1146/annurev-psych-033020-123501 |
0.34 |
|
| 2021 |
Zhang Q, Busemeyer J. A Quantum Walk Model for Idea Propagation in Social Network and Group Decision Making. Entropy (Basel, Switzerland). 23. PMID 34065758 DOI: 10.3390/e23050622 |
0.305 |
|
| 2021 |
Kvam PD, Busemeyer JR, Pleskac TJ. Temporal oscillations in preference strength provide evidence for an open system model of constructed preference. Scientific Reports. 11: 8169. PMID 33854162 DOI: 10.1038/s41598-021-87659-0 |
0.827 |
|
| 2020 |
Molloy MF, Romeu RJ, Kvam PD, Finn PR, Busemeyer J, Turner BM. Hierarchies improve individual assessment of temporal discounting behavior. Decision (Washington, D.C.). 7: 212-224. PMID 34621906 DOI: 10.1037/dec0000121 |
0.778 |
|
| 2020 |
Kvam PD, Busemeyer JR. A distributional and dynamic theory of pricing and preference. Psychological Review. PMID 32463254 DOI: 10.1037/Rev0000215 |
0.807 |
|
| 2020 |
Kvam PD, Romeu RJ, Turner BM, Vassileva J, Busemeyer JR. Testing the factor structure underlying behavior using joint cognitive models: Impulsivity in delay discounting and Cambridge gambling tasks. Psychological Methods. PMID 32134313 DOI: 10.1037/Met0000264 |
0.812 |
|
| 2020 |
Busemeyer JR, Kvam PD, Pleskac TJ. Comparison of Markov versus quantum dynamical models of human decision making. Wiley Interdisciplinary Reviews. Cognitive Science. e1526. PMID 32107890 DOI: 10.1002/Wcs.1526 |
0.833 |
|
| 2019 |
Broekaert JB, Busemeyer JR, Pothos EM. The Disjunction Effect in two-stage simulated gambles. An experimental study and comparison of a heuristic logistic, Markov and quantum-like model. Cognitive Psychology. 117: 101262. PMID 31865226 DOI: 10.1016/j.cogpsych.2019.101262 |
0.404 |
|
| 2019 |
Busemeyer JR, Kvam PD, Pleskac TJ. Markov versus quantum dynamic models of belief change during evidence monitoring. Scientific Reports. 9: 18025. PMID 31792262 DOI: 10.1038/S41598-019-54383-9 |
0.806 |
|
| 2019 |
Romeu RJ, Haines N, Ahn WY, Busemeyer JR, Vassileva J. A computational model of the Cambridge gambling task with applications to substance use disorders. Drug and Alcohol Dependence. 107711. PMID 31735532 DOI: 10.1016/J.Drugalcdep.2019.107711 |
0.722 |
|
| 2019 |
Busemeyer JR, Gluth S, Rieskamp J, Turner BM. Cognitive and Neural Bases of Multi-Attribute, Multi-Alternative, Value-based Decisions. Trends in Cognitive Sciences. PMID 30630672 DOI: 10.1016/J.Tics.2018.12.003 |
0.73 |
|
| 2018 |
Turner BM, McClelland JL, Busemeyer J. Bayesian statistics to test Bayes optimality. The Behavioral and Brain Sciences. 41: e246. PMID 30767805 DOI: 10.1017/S0140525X18001334 |
0.437 |
|
| 2017 |
Fakhari P, Khodadadi A, Busemeyer JR. The detour problem in a stochastic environment: Tolman revisited. Cognitive Psychology. 101: 29-49. PMID 29294373 DOI: 10.1016/J.Cogpsych.2017.12.002 |
0.367 |
|
| 2017 |
Gonzalez C, Fakhari P, Busemeyer J. Dynamic Decision Making: Learning Processes and New Research Directions. Human Factors. 18720817710347. PMID 28548893 DOI: 10.1177/0018720817710347 |
0.429 |
|
| 2017 |
Busemeyer JR, Fakhari P, Kvam P. Neural implementation of operations used in quantum cognition. Progress in Biophysics and Molecular Biology. PMID 28487218 DOI: 10.1016/J.Pbiomolbio.2017.04.007 |
0.797 |
|
| 2017 |
Pothos EM, Busemeyer JR, Shiffrin RM, Yearsley JM. The Rational Status of Quantum Cognition. Journal of Experimental Psychology. General. PMID 28447840 DOI: 10.1037/xge0000312 |
0.63 |
|
| 2017 |
Khodadadi A, Fakhari P, Busemeyer JR. Learning to allocate limited time to decisions with different expected outcomes. Cognitive Psychology. 95: 17-49. PMID 28441518 DOI: 10.1016/J.Cogpsych.2017.03.002 |
0.491 |
|
| 2017 |
Basieva I, Pothos E, Trueblood J, Khrennikov A, Busemeyer J. Quantum probability updating from zero priors (by-passing Cromwell’s rule) Journal of Mathematical Psychology. 77: 58-69. DOI: 10.1016/J.Jmp.2016.08.005 |
0.747 |
|
| 2016 |
Ahn WY, Busemeyer JR. Challenges and promises for translating computational tools into clinical practice. Current Opinion in Behavioral Sciences. 11: 1-7. PMID 27104211 DOI: 10.1016/J.Cobeha.2016.02.001 |
0.606 |
|
| 2016 |
Ahn WY, Dai J, Vassileva J, Busemeyer JR, Stout JC. Computational modeling for addiction medicine: From cognitive models to clinical applications. Progress in Brain Research. 224: 53-65. PMID 26822353 DOI: 10.1016/Bs.Pbr.2015.07.032 |
0.824 |
|
| 2016 |
Johnson JG, Busemeyer JR. A computational model of the attention process in risky choice. Decision. 3: 254-280. DOI: 10.1037/DEC0000050 |
0.539 |
|
| 2015 |
Dai J, Gunn RL, Gerst KR, Busemeyer JR, Finn PR. A Random Utility Model of Delay Discounting and Its Application to People With Externalizing Psychopathology. Psychological Assessment. PMID 26595217 DOI: 10.1037/Pas0000248 |
0.587 |
|
| 2015 |
Hotaling JM, Cohen AL, Shiffrin RM, Busemeyer JR. The Dilution Effect and Information Integration in Perceptual Decision Making. Plos One. 10: e0138481. PMID 26406323 DOI: 10.1371/Journal.Pone.0138481 |
0.758 |
|
| 2015 |
Kvam PD, Pleskac TJ, Yu S, Busemeyer JR. Interference effects of choice on confidence: Quantum characteristics of evidence accumulation. Proceedings of the National Academy of Sciences of the United States of America. 112: 10645-50. PMID 26261322 DOI: 10.1073/Pnas.1500688112 |
0.842 |
|
| 2015 |
Dai J, Kerestes R, Upton DJ, Busemeyer JR, Stout JC. An improved cognitive model of the Iowa and Soochow Gambling Tasks with regard to model fitting performance and tests of parameter consistency. Frontiers in Psychology. 6: 229. PMID 25814963 DOI: 10.3389/Fpsyg.2015.00229 |
0.771 |
|
| 2015 |
Pothos EM, Barque-Duran A, Yearsley JM, Trueblood JS, Busemeyer JR, Hampton JA. Progress and current challenges with the quantum similarity model. Frontiers in Psychology. 6: 205. PMID 25762968 DOI: 10.3389/Fpsyg.2015.00205 |
0.68 |
|
| 2015 |
Busemeyer JR. Cognitive science contributions to decision science. Cognition. 135: 43-6. PMID 25500184 DOI: 10.1016/j.cognition.2014.11.010 |
0.435 |
|
| 2015 |
Yearsley JM, Busemeyer JR. Quantum cognition and decision theories: A tutorial Journal of Mathematical Psychology. DOI: 10.1016/j.jmp.2015.11.005 |
0.471 |
|
| 2014 |
Khrennikov A, Basieva I, Dzhafarov EN, Busemeyer JR. Quantum models for psychological measurements: an unsolved problem. Plos One. 9: e110909. PMID 25343581 DOI: 10.1371/journal.pone.0110909 |
0.349 |
|
| 2014 |
Ahn WY, Vasilev G, Lee SH, Busemeyer JR, Kruschke JK, Bechara A, Vassileva J. Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users. Frontiers in Psychology. 5: 849. PMID 25161631 DOI: 10.3389/Fpsyg.2014.00849 |
0.776 |
|
| 2014 |
White LC, Pothos EM, Busemeyer JR. Sometimes it does hurt to ask: the constructive role of articulating impressions. Cognition. 133: 48-64. PMID 24955888 DOI: 10.1016/j.cognition.2014.05.015 |
0.444 |
|
| 2014 |
Khodadadi A, Fakhari P, Busemeyer JR. Learning to maximize reward rate: a model based on semi-Markov decision processes. Frontiers in Neuroscience. 8: 101. PMID 24904252 DOI: 10.3389/Fnins.2014.00101 |
0.496 |
|
| 2014 |
Trueblood JS, Pothos EM, Busemeyer JR. Quantum probability theory as a common framework for reasoning and similarity. Frontiers in Psychology. 5: 322. PMID 24782814 DOI: 10.3389/Fpsyg.2014.00322 |
0.722 |
|
| 2014 |
Dai J, Busemeyer JR. A probabilistic, dynamic, and attribute-wise model of intertemporal choice. Journal of Experimental Psychology. General. 143: 1489-514. PMID 24635188 DOI: 10.1037/A0035976 |
0.634 |
|
| 2014 |
Pothos EM, Busemeyer JR. In search for a standard of rationality. Frontiers in Psychology. 5: 49. PMID 24523711 DOI: 10.3389/fpsyg.2014.00049 |
0.393 |
|
| 2014 |
Chan TW, Ahn WY, Bates JE, Busemeyer JR, Guillaume S, Redgrave GW, Danner UN, Courtet P. Differential impairments underlying decision making in anorexia nervosa and bulimia nervosa: a cognitive modeling analysis. The International Journal of Eating Disorders. 47: 157-67. PMID 24243480 DOI: 10.1002/Eat.22223 |
0.686 |
|
| 2014 |
Johnson JG, Busemeyer JR. Rule-based decision field theory: A dynamic computational model of transitions among decision-making strategies The Routines of Decision Making. 1-20. DOI: 10.4324/9781410611826 |
0.634 |
|
| 2014 |
Pothos EM, Shiffrin RM, Busemeyer JR. The dynamics of decision making when probabilities are vaguely specified Journal of Mathematical Psychology. 59: 6-17. DOI: 10.1016/j.jmp.2013.09.001 |
0.633 |
|
| 2014 |
Kvam PD, Pleskac TJ, Busemeyer JR, Yu S. Interference in choice and confidence: Using the quantum random walk to model distributions of confidence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8369: 225-230. DOI: 10.1007/978-3-642-54943-4_20 |
0.841 |
|
| 2014 |
Kvam PD, Busemeyer JR, Lambert-Mogiliansky A. An Empirical Test of Type-Indeterminacy in the Prisoner's Dilemma Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8369: 213-224. DOI: 10.1007/978-3-642-54943-4_19 |
0.808 |
|
| 2014 |
Kvam PD, Pleskac TJ, Busemeyer JR, Yu S. Interference in choice and confidence: Using the quantum random walk to model distributions of confidence Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8369: 225-230. DOI: 10.1007/978-3-642-54943-4-20 |
0.664 |
|
| 2013 |
Vassileva J, Ahn WY, Weber KM, Busemeyer JR, Stout JC, Gonzalez R, Cohen MH. Computational modeling reveals distinct effects of HIV and history of drug use on decision-making processes in women. Plos One. 8: e68962. PMID 23950880 DOI: 10.1371/Journal.Pone.0068962 |
0.79 |
|
| 2013 |
Pothos EM, Busemeyer JR, Trueblood JS. A quantum geometric model of similarity. Psychological Review. 120: 679-96. PMID 23915087 DOI: 10.1037/A0033142 |
0.716 |
|
| 2013 |
Pothos EM, Busemeyer JR. Quantum principles in psychology: the debate, the evidence, and the future. The Behavioral and Brain Sciences. 36: 310-27. PMID 23814869 DOI: 10.1017/S0140525X12003226 |
0.411 |
|
| 2013 |
Pothos EM, Busemeyer JR. Can quantum probability provide a new direction for cognitive modeling? The Behavioral and Brain Sciences. 36: 255-74. PMID 23673021 DOI: 10.1017/S0140525X12001525 |
0.39 |
|
| 2013 |
Trueblood JS, Brown SD, Heathcote A, Busemeyer JR. Not just for consumers: context effects are fundamental to decision making. Psychological Science. 24: 901-8. PMID 23610134 DOI: 10.1177/0956797612464241 |
0.767 |
|
| 2013 |
Vassileva J, Ahn W, Weber KM, Busemeyer JR, Stout JC, Gonzalez R, Cohen MH. Correction: Computational Modeling Reveals Distinct Effects of HIV and History of Drug Use on Decision-Making Processes in Women Plos One. 8. DOI: 10.1371/annotation/5a8e6fe0-623c-4d17-8781-9a0eadf67a43 |
0.718 |
|
| 2013 |
Fakhari P, Rajagopal K, Balakrishnan SN, Busemeyer JR. Quantum inspired reinforcement learning in changing environment New Mathematics and Natural Computation. 9: 273-294. DOI: 10.1142/S1793005713400073 |
0.324 |
|
| 2013 |
Veinott ES, Leonard J, Papautsky EL, Perelman B, Stankovic A, Lorince J, Hotaling J, Ross T, Todd P, Castronova E, Busemeyer J, Hale C, Catrambone R, Whitaker E, Fox O, et al. The effect of camera perspective and session duration on training decision making in a serious video game Ieee Consumer Electronics Society's International Games Innovations Conference, Igic. 256-262. DOI: 10.1109/IGIC.2013.6659170 |
0.644 |
|
| 2013 |
White LC, Pothos EM, Busemeyer JR. Insights from quantum cognitive models for organizational decision making Journal of Applied Research in Memory and Cognition. DOI: 10.1016/j.jarmac.2014.11.002 |
0.506 |
|
| 2013 |
Busemeyer JR, Diederich A. Estimation and Testing of Computational Psychological Models Neuroeconomics: Decision Making and the Brain: Second Edition. 49-61. DOI: 10.1016/B978-0-12-416008-8.00004-8 |
0.525 |
|
| 2012 |
Trueblood JS, Busemeyer JR. A quantum probability model of causal reasoning. Frontiers in Psychology. 3: 138. PMID 22593747 DOI: 10.3389/Fpsyg.2012.00138 |
0.747 |
|
| 2012 |
Shuai X, Ding Y, Busemeyer J, Chen S, Sun Y, Tang J. Modeling indirect influence on Twitter International Journal On Semantic Web and Information Systems. 8: 20-36. DOI: 10.4018/Jswis.2012100102 |
0.308 |
|
| 2012 |
Lambert-Mogiliansky A, Busemeyer J. Quantum type indeterminacy in dynamic decision-making: Self-control through identity management Games. 3: 97-118. DOI: 10.3390/g3020097 |
0.467 |
|
| 2012 |
Busemeyer JR, Dimperio E, Jessup RK. Integrating Emotional Processes into Decision-Making Models Integrated Models of Cognitive Systems. DOI: 10.1093/acprof:oso/9780195189193.003.0015 |
0.798 |
|
| 2012 |
Busemeyer JR, Bruza PD. Quantum models of cognition and decision Quantum Models of Cognition and Decision. 1-407. DOI: 10.1017/CBO9780511997716 |
0.357 |
|
| 2012 |
Hotaling JM, Busemeyer JR. DFT-D: a cognitive-dynamical model of dynamic decision making Synthese. 189: 67-80. DOI: 10.1007/S11229-012-0157-0 |
0.742 |
|
| 2011 |
Trueblood JS, Endres MJ, Busemeyer JR, Finn PR. Modeling Response Times in the Go/No-Go Discrimination Task. Cogsci : ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 2011: 1866-1871. PMID 25285326 |
0.708 |
|
| 2011 |
Pothos EM, Busemeyer JR. Formalizing heuristics in decision-making: a quantum probability perspective. Frontiers in Psychology. 2: 289. PMID 22121355 DOI: 10.3389/fpsyg.2011.00289 |
0.487 |
|
| 2011 |
Trueblood JS, Busemeyer JR. A quantum probability account of order effects in inference. Cognitive Science. 35: 1518-52. PMID 21951058 DOI: 10.1111/J.1551-6709.2011.01197.X |
0.753 |
|
| 2011 |
Ahn WY, Rass O, Fridberg DJ, Bishara AJ, Forsyth JK, Breier A, Busemeyer JR, Hetrick WP, Bolbecker AR, O'Donnell BF. Temporal discounting of rewards in patients with bipolar disorder and schizophrenia. Journal of Abnormal Psychology. 120: 911-21. PMID 21875166 DOI: 10.1037/A0023333 |
0.799 |
|
| 2011 |
Busemeyer JR, Pothos EM, Franco R, Trueblood JS. A quantum theoretical explanation for probability judgment errors. Psychological Review. 118: 193-218. PMID 21480739 DOI: 10.1037/A0022542 |
0.729 |
|
| 2011 |
Proctor RW, Nof SY, Yih Y, Balasubramanian P, Busemeyer JR, Carayon P, Chiu CY, Farahm F, Gonzalez C, Gore J, Landry SJ, Lehto M, Rau PL, Rouse W, Tay L, et al. Understanding and improving cross-cultural decision making in design and use of digital media: A research agenda International Journal of Human-Computer Interaction. 27: 151-190. DOI: 10.1080/10447318.2011.537175 |
0.346 |
|
| 2011 |
Pothos EM, Perry G, Corr PJ, Matthew MR, Busemeyer JR. Understanding cooperation in the Prisoner's Dilemma game Personality and Individual Differences. 51: 210-215. DOI: 10.1016/J.Paid.2010.05.002 |
0.797 |
|
| 2010 |
Johnson JG, Busemeyer JR. Decision making under risk and uncertainty. Wiley Interdisciplinary Reviews. Cognitive Science. 1: 736-49. PMID 26271657 DOI: 10.1002/wcs.76 |
0.671 |
|
| 2010 |
Hotaling JM, Busemeyer JR, Li J. Theoretical developments in decision field theory: comment on Tsetsos, Usher, and Chater (2010). Psychological Review. 117: 1294-8. PMID 21038981 DOI: 10.1037/A0020401 |
0.705 |
|
| 2010 |
Pleskac TJ, Busemeyer JR. Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. Psychological Review. 117: 864-901. PMID 20658856 DOI: 10.1037/a0019737 |
0.76 |
|
| 2010 |
Bishara AJ, Kruschke JK, Stout JC, Bechara A, McCabe DP, Busemeyer JR. Sequential Learning Models for the Wisconsin Card Sort Task: Assessing Processes in Substance Dependent Individuals. Journal of Mathematical Psychology. 54: 5-13. PMID 20495607 DOI: 10.1016/J.Jmp.2008.10.002 |
0.821 |
|
| 2010 |
Fridberg DJ, Queller S, Ahn WY, Kim W, Bishara AJ, Busemeyer JR, Porrino L, Stout JC. Cognitive Mechanisms Underlying Risky Decision-Making in Chronic Cannabis Users. Journal of Mathematical Psychology. 54: 28-38. PMID 20419064 DOI: 10.1016/J.Jmp.2009.10.002 |
0.829 |
|
| 2010 |
Jessup RK, Busemeyer JR, Brown JW. Error effects in anterior cingulate cortex reverse when error likelihood is high. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 3467-72. PMID 20203206 DOI: 10.1523/JNEUROSCI.4130-09.2010 |
0.772 |
|
| 2010 |
Busemeyer J, Franco R. What is the evidence for quantum like interference effects in human judgments and decision behavior? Neuroquantology. 8: S48-S62. DOI: 10.14704/Nq.2010.8.4.350 |
0.472 |
|
| 2010 |
Johnson JG, Busemeyer JR. Decision making under risk and uncertainty Wiley Interdisciplinary Reviews: Cognitive Science. 1: 736-749. DOI: 10.1002/wcs.76 |
0.584 |
|
| 2010 |
Busemeyer JR, Trueblood J. Quantum model for conjoint recognition Aaai Fall Symposium - Technical Report. 32-39. |
0.677 |
|
| 2010 |
Busemeyer JR. How can one use quantum probability and dynamics to build models of human cognition and decision making? International Journal of Sport Psychology. 41: 11-12. |
0.373 |
|
| 2009 |
Bishara AJ, Pleskac TJ, Fridberg DJ, Yechiam E, Lucas J, Busemeyer JR, Finn PR, Stout JC. Similar Processes Despite Divergent Behavior in Two Commonly Used Measures of Risky Decision Making. Journal of Behavioral Decision Making. 22: 435-454. PMID 21836771 DOI: 10.1002/Bdm.641 |
0.825 |
|
| 2009 |
Pothos EM, Busemeyer JR. A quantum probability explanation for violations of 'rational' decision theory. Proceedings. Biological Sciences / the Royal Society. 276: 2171-8. PMID 19324743 DOI: 10.1098/rspb.2009.0121 |
0.527 |
|
| 2009 |
McDaniel MA, Dimperio E, Griego JA, Busemeyer JR. Predicting transfer performance: a comparison of competing function learning models. Journal of Experimental Psychology. Learning, Memory, and Cognition. 35: 173-95. PMID 19210089 DOI: 10.1037/A0013982 |
0.767 |
|
| 2009 |
Bruza P, Busemeyer JR, Gabora L. Introduction to the special issue on quantum cognition Journal of Mathematical Psychology. 53: 303-305. DOI: 10.1016/j.jmp.2009.06.002 |
0.358 |
|
| 2009 |
Busemeyer JR, Pleskac TJ. Theoretical tools for understanding and aiding dynamic decision making Journal of Mathematical Psychology. 53: 126-138. DOI: 10.1016/j.jmp.2008.12.007 |
0.75 |
|
| 2009 |
Li J, Busemeyer JR. Combine the objective features with the subjective feelings in personal multi-alternative decision making modeling Brain Informatics. 194-202. DOI: 10.1007/978-3-642-04954-5_29 |
0.469 |
|
| 2009 |
Busemeyer JR, Trueblood J. Comparison of quantum and bayesian inference models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5494: 29-43. DOI: 10.1007/978-3-642-00834-4_5 |
0.687 |
|
| 2009 |
Busemeyer JR, Lambert-Mogiliansky A. An exploration of type indeterminacy in strategic decision-making Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5494: 113-127. DOI: 10.1007/978-3-642-00834-4_11 |
0.321 |
|
| 2009 |
Jessup RK, Veinott ES, Todd PM, Busemeyer JR. Leaving the store empty-handed: Testing explanations for the too-much-choice effect using decision field theory Psychology and Marketing. 26: 299-320. DOI: 10.1002/Mar.20274 |
0.798 |
|
| 2008 |
Ahn WY, Busemeyer JR, Wagenmakers EJ, Stout JC. Comparison of decision learning models using the generalization criterion method. Cognitive Science. 32: 1376-402. PMID 21585458 DOI: 10.1080/03640210802352992 |
0.784 |
|
| 2008 |
Jessup RK, Bishara AJ, Busemeyer JR. Feedback produces divergence from prospect theory in descriptive choice. Psychological Science. 19: 1015-22. PMID 19000212 DOI: 10.1111/j.1467-9280.2008.02193.x |
0.826 |
|
| 2008 |
Yechiam E, Kanz JE, Bechara A, Stout JC, Busemeyer JR, Altmaier EM, Paulsen JS. Neurocognitive deficits related to poor decision making in people behind bars. Psychonomic Bulletin & Review. 15: 44-51. PMID 18605478 DOI: 10.3758/Pbr.15.1.44 |
0.673 |
|
| 2008 |
Kelley H, Busemeyer J. A comparison of models for learning how to dynamically integrate multiple cues in order to forecast continuous criteria Journal of Mathematical Psychology. 52: 218-240. DOI: 10.1016/J.Jmp.2008.01.009 |
0.779 |
|
| 2008 |
Yechiam E, Busemeyer JR. Evaluating generalizability and parameter consistency in learning models Games and Economic Behavior. 63: 370-394. DOI: 10.1016/j.geb.2007.08.011 |
0.502 |
|
| 2008 |
Busemeyer JR, Johnson JG. Computational Models of Decision Making Blackwell Handbook of Judgment and Decision Making. 133-154. DOI: 10.1002/9780470752937.ch7 |
0.627 |
|
| 2007 |
Busemeyer JR, Barkan R, Mehta S, Chaturvedi A. Context effects and models of preferential choice: implications for consumer behavior Marketing Theory. 7: 39-58. DOI: 10.1177/1470593107073844 |
0.712 |
|
| 2006 |
Busemeyer JR, Jessup RK, Johnson JG, Townsend JT. Building bridges between neural models and complex decision making behaviour. Neural Networks : the Official Journal of the International Neural Network Society. 19: 1047-58. PMID 16979319 DOI: 10.1016/j.neunet.2006.05.043 |
0.839 |
|
| 2006 |
Yechiam E, Goodnight J, Bates JE, Busemeyer JR, Dodge KA, Pettit GS, Newman JP. A formal cognitive model of the go/no-go discrimination task: evaluation and implications. Psychological Assessment. 18: 239-49. PMID 16953727 DOI: 10.1037/1040-3590.18.3.239 |
0.438 |
|
| 2006 |
Diederich A, Busemeyer JR. Modeling the effects of payoff on response bias in a perceptual discrimination task: bound-change, drift-rate-change, or two-stage-processing hypothesis. Perception & Psychophysics. 68: 194-207. PMID 16773893 DOI: 10.3758/Bf03193669 |
0.648 |
|
| 2006 |
Lane SD, Yechiam E, Busemeyer JR. Application of a computational decision model to examine acute drug effects on human risk taking. Experimental and Clinical Psychopharmacology. 14: 254-64. PMID 16756429 DOI: 10.1037/1064-1297.14.2.254 |
0.448 |
|
| 2006 |
Rieskamp J, Busemeyer JR, Mellers BA. Extending the bounds of rationality: Evidence and theories of preferential choice Journal of Economic Literature. 44: 631-661. DOI: 10.1257/jel.44.3.631 |
0.654 |
|
| 2006 |
Yechiam E, Busemeyer JR. The effect of foregone payoffs on underweighting small probability events Journal of Behavioral Decision Making. 19: 1-16. DOI: 10.1002/bdm.509 |
0.375 |
|
| 2005 |
Yechiam E, Busemeyer JR, Stout JC, Bechara A. Using cognitive models to map relations between neuropsychological disorders and human decision-making deficits. Psychological Science. 16: 973-8. PMID 16313662 DOI: 10.1111/j.1467-9280.2005.01646.x |
0.723 |
|
| 2005 |
Johnson JG, Busemeyer JR. A dynamic, stochastic, computational model of preference reversal phenomena. Psychological Review. 112: 841-61. PMID 16262470 DOI: 10.1037/0033-295X.112.4.841 |
0.669 |
|
| 2005 |
Yechiam E, Busemeyer JR. Comparison of basic assumptions embedded in learning models for experience-based decision making. Psychonomic Bulletin & Review. 12: 387-402. PMID 16235624 DOI: 10.3758/Bf03193783 |
0.48 |
|
| 2005 |
Wood S, Busemeyer J, Koling A, Cox CR, Davis H. Older adults as adaptive decision makers: Evidence from the Iowa Gambling Task Psychology and Aging. 20: 220-225. PMID 16029086 DOI: 10.1037/0882-7974.20.2.220 |
0.359 |
|
| 2005 |
Stout JC, Rock SL, Campbell MC, Busemeyer JR, Finn PR. Psychological processes underlying risky decisions in drug abusers. Psychology of Addictive Behaviors : Journal of the Society of Psychologists in Addictive Behaviors. 19: 148-57. PMID 16011385 DOI: 10.1037/0893-164X.19.2.148 |
0.673 |
|
| 2005 |
McDaniel MA, Busemeyer JR. The conceptual basis of function learning and extrapolation: comparison of rule-based and associative-based models. Psychonomic Bulletin & Review. 12: 24-42. PMID 15948282 DOI: 10.3758/Bf03196347 |
0.564 |
|
| 2005 |
Busemeyer JR, Townsend JT, Diederich A, Barkan R. Contrast effects or loss aversion? Comment on Usher and McClelland (2004). Psychological Review. 112: 253-5. PMID 15631596 DOI: 10.1037/0033-295X.112.1.253 |
0.764 |
|
| 2005 |
Barkan R, Danziger S, Ben-Bashat G, Busemeyer JR. Framing reference points: The effect of integration and segregation on dynamic inconsistency Journal of Behavioral Decision Making. 18: 213-226. DOI: 10.1002/Bdm.496 |
0.676 |
|
| 2005 |
Yechiam E, Stout JC, Busemeyer JR, Rock SL, Finn PR. Individual differences in the response to forgone payoffs: An examination of high functioning drug abusers Journal of Behavioral Decision Making. 18: 97-110. DOI: 10.1002/Bdm.487 |
0.652 |
|
| 2004 |
Stout JC, Busemeyer JR, Lin A, Grant SJ, Bonson KR. Cognitive modeling analysis of decision-making processes in cocaine abusers. Psychonomic Bulletin & Review. 11: 742-7. PMID 15581127 DOI: 10.3758/Bf03196629 |
0.682 |
|
| 2003 |
Rieskamp J, Busemeyer JR, Laine T. How do people learn to allocate resources? Comparing two learning theories. Journal of Experimental Psychology. Learning, Memory, and Cognition. 29: 1066-81. PMID 14622047 DOI: 10.1037/0278-7393.29.6.1066 |
0.686 |
|
| 2003 |
Diederich A, Busemeyer JR. Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time Journal of Mathematical Psychology. 47: 304-322. DOI: 10.1016/S0022-2496(03)00003-8 |
0.652 |
|
| 2003 |
Barkan R, Busemeyer JR. Modeling Dynamic Inconsistency with a Changing Reference Point Journal of Behavioral Decision Making. 16: 235-255. DOI: 10.1002/bdm.444 |
0.734 |
|
| 2002 |
Busemeyer JR, Stout JC. A contribution of cognitive decision models to clinical assessment: decomposing performance on the Bechara gambling task. Psychological Assessment. 14: 253-62. PMID 12214432 DOI: 10.1037//1040-3590.14.3.253 |
0.708 |
|
| 2002 |
Busemeyer JR, Diederich A. Survey of decision field theory Mathematical Social Sciences. 43: 345-370. DOI: 10.1016/S0165-4896(02)00016-1 |
0.701 |
|
| 2001 |
Roe RM, Busemeyer JR, Townsend JT. Multialternative decision field theory: a dynamic connectionist model of decision making. Psychological Review. 108: 370-92. PMID 11381834 DOI: 10.1037//0033-295X.108.2.370 |
0.556 |
|
| 2001 |
Johnson JG, Busemeyer JR. Multiple-stage decision-making: The effect of planning horizon length on dynamic consistency Theory and Decision. 51: 217-246. DOI: 10.1023/A:1015507110940 |
0.658 |
|
| 2000 |
Busemeyer JR, Weg E, Barkan R, Li X, Ma Z. Dynamic and consequential consistency of choices between paths of decision trees. Journal of Experimental Psychology. General. 129: 530-45. PMID 11142867 DOI: 10.1037//0096-3445.129.4.530 |
0.728 |
|
| 2000 |
Busemeyer JR, Wang YM. Model Comparisons and Model Selections Based on Generalization Criterion Methodology. Journal of Mathematical Psychology. 44: 171-189. PMID 10733863 DOI: 10.1006/jmps.1999.1282 |
0.349 |
|
| 1999 |
Barkan R, Busemeyer JR. Changing plans: dynamic inconsistency and the effect of experience on the reference point. Psychonomic Bulletin & Review. 6: 547-54. PMID 10682196 DOI: 10.3758/Bf03212962 |
0.702 |
|
| 1999 |
Dror IE, Busemeyer JR, Basola B. Decision making under time pressure: an independent test of sequential sampling models. Memory & Cognition. 27: 713-25. PMID 10479829 DOI: 10.3758/Bf03211564 |
0.399 |
|
| 1999 |
Diederich A, Busemeyer JR. Conflict and the stochastic-dominance principle of decision making Psychological Science. 10: 353-359. DOI: 10.1111/1467-9280.00167 |
0.702 |
|
| 1998 |
Busemeyer JR. Implementation, Algorithmic, and Computational Level Descriptions of Neural Networks. Review ofMathematical Methods for Neural Network Analysis and Design,by R. M. Golden Journal of Mathematical Psychology. 42: 107-109. DOI: 10.1006/JMPS.1997.1195 |
0.307 |
|
| 1997 |
DeLosh EL, Busemeyer JR, McDaniel MA. Extrapolation: the sine qua non for abstraction in function learning. Journal of Experimental Psychology. Learning, Memory, and Cognition. 23: 968-86. PMID 9231439 DOI: 10.1037//0278-7393.23.4.968 |
0.788 |
|
| 1997 |
Busemeyer J, McDaniel MA, Byun E. The abstraction of intervening concepts from experience with multiple input-multiple output causal environments. Cognitive Psychology. 32: 1-48. PMID 9038244 DOI: 10.1006/Cogp.1997.0644 |
0.532 |
|
| 1996 |
Busemeyer JR, McDaniel MA, Byun E. The Use of Intervening Variables in Causal Learning Psychology of Learning and Motivation - Advances in Research and Theory. 34: 357-391. DOI: 10.1016/S0079-7421(08)60565-4 |
0.531 |
|
| 1993 |
Busemeyer JR, Townsend JT. Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. Psychological Review. 100: 432-59. PMID 8356185 DOI: 10.1037/0033-295X.100.3.432 |
0.619 |
|
| 1993 |
Choi S, McDaniel MA, Busemeyer JR. Incorporating prior biases in network models of conceptual rule learning. Memory & Cognition. 21: 413-23. PMID 8350732 DOI: 10.3758/Bf03197172 |
0.559 |
|
| 1993 |
Busemeyer JR, Jae Myung I, McDaniel MA. Cue Competition Effects: Theoretical Implications for Adaptive Network Learning Models Psychological Science. 4: 196-202. DOI: 10.1111/J.1467-9280.1993.Tb00487.X |
0.521 |
|
| 1993 |
Busemeyer JR, Myung IJ, McDaniel MA. Cue Competition Effects: Empirical Tests of Adaptive Network Learning Models Psychological Science. 4: 190-195. DOI: 10.1111/J.1467-9280.1993.Tb00486.X |
0.53 |
|
| 1992 |
Busemeyer JR, Myung IJ. An Adaptive Approach to Human Decision Making: Learning Theory, Decision Theory, and Human Performance Journal of Experimental Psychology: General. 121: 177-194. DOI: 10.1037/0096-3445.121.2.177 |
0.501 |
|
| 1992 |
Goldstein WM, Busemeyer JR. The effect of "irrelevant" variables on decision making: Criterion shifts in preferential choice? Organizational Behavior and Human Decision Processes. 52: 425-454. DOI: 10.1016/0749-5978(92)90028-6 |
0.476 |
|
| 1992 |
Busemeyer JR, Goldstein WM. Linking together different measures of preference: A dynamic model of matching derived from decision field theory Organizational Behavior and Human Decision Processes. 52: 370-396. DOI: 10.1016/0749-5978(92)90026-4 |
0.521 |
|
| 1992 |
Busemeyer JR, Townsend JT. Fundamental derivations from decision field theory Mathematical Social Sciences. 23: 255-282. DOI: 10.1016/0165-4896(92)90043-5 |
0.628 |
|
| 1992 |
Myung IJ, Busemeyer JR. Measurement-free tests of a general state-space model of prototype learning Journal of Mathematical Psychology. 36: 32-67. DOI: 10.1016/0022-2496(92)90052-9 |
0.366 |
|
| 1990 |
Busemeyer JR. Can we help people make rational decision?: Detlof von Winterfeldt and Ward Edwards. Decision Analysis and Behavioral Research. London/New York: Cambridge Univ. Press, 1986. Pp. 604. $59.50 (cloth), $14.95 (paper) Journal of Mathematical Psychology. 34: 116-122. DOI: 10.1016/0022-2496(90)90017-4 |
0.425 |
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| 1989 |
Myung IJ, Busemeyer JR. Criterion Learning in a Deferred Decision-Making Task The American Journal of Psychology. 102: 1. DOI: 10.2307/1423113 |
0.456 |
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| 1988 |
Busemeyer JR. An "Anthology" of Readings on Judgment and Decision Making Contemporary Psychology: a Journal of Reviews. 33: 533-534. DOI: 10.1037/025804 |
0.343 |
|
| 1988 |
Busemeyer JR, Myung IJ. A New Method for Investigating Prototype Learning Journal of Experimental Psychology: Learning, Memory, and Cognition. 14: 3-11. DOI: 10.1037//0278-7393.14.1.3 |
0.351 |
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| 1988 |
Busemeyer JR, Rapoport A. Psychological models of deferred decision making Journal of Mathematical Psychology. 32: 91-134. DOI: 10.1016/0022-2496(88)90042-9 |
0.659 |
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| 1988 |
Busemeyer JR, Forsyth B, Nozawa G. Comparisons of elimination by aspects and suppression of aspects choice models based on choice response time Journal of Mathematical Psychology. 32: 341-349. DOI: 10.1016/0022-2496(88)90016-8 |
0.427 |
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| 1987 |
Busemeyer JR, Myung IJ. Resource allocation decision making in an uncertain environment Acta Psychologica. 66: 1-19. DOI: 10.1016/0001-6918(87)90015-1 |
0.329 |
|
| 1986 |
Busemeyer JR, Swenson KN, Lazarte A. An adaptive approach to resource allocation Organizational Behavior and Human Decision Processes. 38: 318-341. DOI: 10.1016/0749-5978(86)90004-X |
0.332 |
|
| 1985 |
Busemeyer JR. Decision making under uncertainty: a comparison of simple scalability, fixed-sample, and sequential-sampling models. Journal of Experimental Psychology. Learning, Memory, and Cognition. 11: 538-64. PMID 3160815 DOI: 10.1037/0278-7393.11.3.538 |
0.494 |
|
| 1984 |
Busemeyer JR, Dewey GI, Medin DL. Evaluation of exemplar-based generalization and the abstraction of categorical information. Journal of Experimental Psychology. Learning, Memory, and Cognition. 10: 638-48. PMID 6239005 DOI: 10.1037/0278-7393.10.4.638 |
0.369 |
|
| 1982 |
Kanfer FH, Busemeyer JR. The use of problem solving and decision making in behavior therapy Clinical Psychology Review. 2: 239-266. DOI: 10.1016/0272-7358(82)90014-9 |
0.411 |
|
| 1982 |
Busemeyer JR. Choice behavior in a sequential decision-making task Organizational Behavior and Human Performance. 29: 175-207. DOI: 10.1016/0030-5073(82)90255-0 |
0.529 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2017 |
Broekaert JB, Busemeyer JR. A Hamiltonian Driven Quantum-Like Model for Overdistribution in Episodic Memory Recollection Frontiers in Physics. 5. DOI: 10.3389/fphy.2017.00023 |
0.279 |
|
| 2019 |
Busemeyer JR, Wang Z. Hilbert space multidimensional modelling of continuous measurements Philosophical Transactions of the Royal Society A. 377: 20190142. PMID 31522635 DOI: 10.1098/Rsta.2019.0142 |
0.269 |
|
| 2012 |
Busemeyer JR, Pothos EM. Social Projection and a Quantum Approach for Behavior in Prisoner's Dilemma Psychological Inquiry. 23: 28-34. DOI: 10.1080/1047840X.2012.652488 |
0.266 |
|
| 1980 |
Busemeyer JR. Importance of measurement theory, error theory, and experimental design for testing the significance of interactions Psychological Bulletin. 88: 237-244. DOI: 10.1037/0033-2909.88.1.237 |
0.266 |
|
| 1983 |
Busemeyer JR, Jones LE. Analysis of multiplicative combination rules when the causal variables are measured with error Psychological Bulletin. 93: 549-562. DOI: 10.1037/0033-2909.93.3.549 |
0.261 |
|
| 2017 |
Rajagopal K, Balakrishnan SN, Busemeyer JR. Neural Network-Based Solutions for Stochastic Optimal Control Using Path Integrals. Ieee Transactions On Neural Networks and Learning Systems. 28: 534-545. PMID 28212072 DOI: 10.1109/TNNLS.2016.2544787 |
0.257 |
|
| 2011 |
Lambert-Mogiliansky A, Busemeyer J. Dynamic optimization with type indeterminate decision-maker: A theory of multiple-self management Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7052: 71-82. DOI: 10.1007/978-3-642-24971-6_8 |
0.231 |
|
| 2017 |
Busemeyer JR. Old and New Directions in Strategy Selection Journal of Behavioral Decision Making. 31: 199-202. DOI: 10.1002/BDM.2005 |
0.225 |
|
| 2009 |
Busemeyer JR. Erratum to: “Recently accepted manuscripts” [J. Math. Psychol. 53 (2009) I] Journal of Mathematical Psychology. 53: 604. DOI: 10.1016/J.JMP.2009.08.001 |
0.217 |
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| 2011 |
Pothos EM, Busemeyer JR. A case for limited prescriptive normativism Behavioral and Brain Sciences. 34: 264-265. DOI: 10.1017/S0140525X1100015X |
0.186 |
|
| 2015 |
Bruza PD, Wang Z, Busemeyer JR. Quantum cognition: A new theoretical approach to psychology Trends in Cognitive Sciences. 19: 383-393. DOI: 10.1016/j.tics.2015.05.001 |
0.18 |
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| 1994 |
Busemeyer JR. Book Review : Multidimensional Models of Perception and Cognition Applied Psychological Measurement. 18: 383-384. DOI: 10.1177/014662169401800410 |
0.164 |
|
| 2013 |
Busemeyer JR. Introduction to quantum probability for social and behavioral scientists Qualitative Mathematics For the Social Sciences: Mathematical Models For Research On Cultural Dynamics. 75-104. DOI: 10.4324/9780203100806 |
0.143 |
|
| 2012 |
Shuai X, Ding Y, Busemeyer J. Multiple spreaders affect the indirect influence on Twitter Www'12 - Proceedings of the 21st Annual Conference On World Wide Web Companion. 597-598. DOI: 10.1145/2187980.2188145 |
0.11 |
|
| 2016 |
Rajagopal K, Balakrishnan SN, Busemeyer JR. Neural Network-Based Solutions for Stochastic Optimal Control Using Path Integrals Ieee Transactions On Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2016.2544787 |
0.109 |
|
| 2017 |
Busemeyer JR. Introduction to special issue on theory integration. Decision. 4: 131-132. DOI: 10.1037/DEC0000084 |
0.103 |
|
| 2012 |
Lambert-Mogiliansky A, Busemeyer JR. Emergence and instability of individual identity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7620: 102-113. DOI: 10.1007/978-3-642-35659-9_10 |
0.086 |
|
| 1995 |
Busemeyer JR. So, Whatever Happened to Signal Detection Theory? Contemporary Psychology: a Journal of Reviews. 40: 972-972. DOI: 10.1037/004041 |
0.079 |
|
| 2014 |
Lu M, Busemeyer JR. Do traditional chinese theories of Yi Jing ("Yin-Yang") and chinese medicine go beyond western concepts of mind and matter? Mind and Matter. 12: 37-59. |
0.073 |
|
| 1981 |
Furchtgott E, Busemeyer JR. Age preferences for professional helpers. Journal of Gerontology. 36: 90-2. PMID 7451844 |
0.073 |
|
| 2014 |
Kvam PD, Busemeyer JR, Lambert-Mogiliansky A. An Empirical Test of Type-Indeterminacy in the Prisoner's Dilemma Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8369: 213-224. DOI: 10.1007/978-3-642-54943-4-19 |
0.072 |
|
| 2012 |
Busemeyer JR, Dubois F, Lambert-Mogiliansky A, Melucci M. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7620: V. |
0.069 |
|
| 2012 |
Shuai X, Ding Y, Busemeyer J. How can spreaders affect the indirect infuence on twitter? Proceedings of the Acm/Ieee Joint Conference On Digital Libraries. 385-386. DOI: 10.1145/2232817.2232903 |
0.06 |
|
| 2012 |
Shuai X, Ding Y, Busemeyer J, Chen S, Sun Y, Tang J. There is more than complex contagion: An indirect influence analysis on Twitter Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. DOI: 10.1145/2350190.2350194 |
0.047 |
|
| 2008 |
Gluck K, Bello P, Busemeyer J. Introduction to the special issue. Cognitive Science. 32: 1245-7. PMID 21585452 DOI: 10.1080/03640210802473582 |
0.035 |
|
| 2005 |
Adams D, Smith M, Chaturvedi A, Rotea M, Hoffmann C, Craig B, Venkatasubramanian V, Mahmassani H, Pines D, Meliopoulis S, Busemeyer J. Integrated prognostic system of systems health management Materials Damage Prognosis - Proceedings of a Symposium of the Materials Science and Technology 2004 Conference. 11-21. |
0.01 |
|
| 1995 |
Busemeyer JR. Preface Psychology of Learning and Motivation - Advances in Research and Theory. 32: xi-xv. DOI: 10.1016/S0079-7421(08)60305-9 |
0.01 |
|
| 2021 |
Wang Z, Busemeyer JR, deBuys B. Beliefs, Actions, and Rationality in Strategical Decisions. Topics in Cognitive Science. PMID 33960682 DOI: 10.1111/tops.12534 |
0.47 |
|
| 2020 |
Busemeyer J, Zhang Q, Balakrishnan SN, Wang Z. Application of Quantum-Markov Open System Models to Human Cognition and Decision. Entropy (Basel, Switzerland). 22. PMID 33286759 DOI: 10.3390/E22090990 |
0.48 |
|
| 2020 |
Atmanspacher H, Basieva I, Busemeyer JR, Khrennikov AY, Pothos EM, Shiffrin RM, Wang Z. What are the appropriate axioms of rationality for reasoning under uncertainty with resource-constrained systems? The Behavioral and Brain Sciences. 43: e2. PMID 32159476 DOI: 10.1017/S0140525X19001535 |
0.636 |
|
| 2019 |
Busemeyer JR, Wang Z. Primer on quantum cognition. The Spanish Journal of Psychology. 22: E53. PMID 31868156 DOI: 10.1017/Sjp.2019.51 |
0.494 |
|
| 2018 |
Busemeyer JR, Wang Z. Hilbert space multidimensional theory. Psychological Review. 125: 572-591. PMID 29952623 DOI: 10.1037/Rev0000106 |
0.466 |
|
| 2018 |
Busemeyer J, Wang Z. Data fusion using Hilbert space multi-dimensional models Theoretical Computer Science. 752: 41-55. DOI: 10.1016/J.Tcs.2017.12.007 |
0.429 |
|
| 2017 |
Busemeyer J, Wang Z. Is there a problem with quantum models of psychological measurements? Plos One. 12: e0187733. PMID 29117246 DOI: 10.1371/Journal.Pone.0187733 |
0.455 |
|
| 2016 |
Wang Z, Busemeyer JR. Interference effects of categorization on decision making. Cognition. 150: 133-149. PMID 26896726 DOI: 10.1016/J.Cognition.2016.01.019 |
0.579 |
|
| 2016 |
Wang Z, Busemeyer JR. Comparing quantum versus Markov random walk models of judgements measured by rating scales. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 374. PMID 26621984 DOI: 10.1098/rsta.2015.0098 |
0.471 |
|
| 2015 |
Wang Z, Busemeyer J. Reintroducing the Concept of Complementarity into Psychology. Frontiers in Psychology. 6: 1822. PMID 26640454 DOI: 10.3389/Fpsyg.2015.01822 |
0.407 |
|
| 2015 |
Bruza PD, Wang Z, Busemeyer JR. Quantum cognition: a new theoretical approach to psychology. Trends in Cognitive Sciences. 19: 383-93. PMID 26058709 DOI: 10.1016/J.Tics.2015.05.001 |
0.515 |
|
| 2015 |
Busemeyer JR, Wang Z, Pothos EM, Trueblood JS. The conjunction fallacy, confirmation, and quantum theory: comment on Tentori, Crupi, and Russo (2013). Journal of Experimental Psychology. General. 144: 236-43. PMID 25621376 DOI: 10.1037/Xge0000035 |
0.73 |
|
| 2015 |
Busemeyer JR, Wang Z. What Is Quantum Cognition, and How Is It Applied to Psychology? Current Directions in Psychological Science. 24: 163-169. DOI: 10.1177/0963721414568663 |
0.468 |
|
| 2015 |
Busemeyer JR, Wang Z, Shiffrin RM. Bayesian model comparison favors quantum over standard decision theory account of dynamic inconsistency. Decision. 2: 1-12. DOI: 10.1037/DEC0000017 |
0.66 |
|
| 2014 |
Wang Z, Solloway T, Shiffrin RM, Busemeyer JR. Context effects produced by question orders reveal quantum nature of human judgments. Proceedings of the National Academy of Sciences of the United States of America. 111: 9431-6. PMID 24979797 DOI: 10.1073/Pnas.1407756111 |
0.678 |
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| 2014 |
Busemeyer JR, Wang Z. Quantum cognition: key issues and discussion. Topics in Cognitive Science. 6: 43-6. PMID 24482327 DOI: 10.1111/Tops.12074 |
0.43 |
|
| 2014 |
Busemeyer JR, Wang Z, Khrennikov A, Basieva I. Applying quantum principles to psychology Physica Scripta. 2014. DOI: 10.1088/0031-8949/2014/T163/014007 |
0.395 |
|
| 2013 |
Wang Z, Busemeyer JR, Atmanspacher H, Pothos EM. The potential of using quantum theory to build models of cognition. Topics in Cognitive Science. 5: 672-88. PMID 24027215 DOI: 10.1111/Tops.12043 |
0.45 |
|
| 2013 |
Wang Z, Busemeyer JR. A quantum question order model supported by empirical tests of an a priori and precise prediction. Topics in Cognitive Science. 5: 689-710. PMID 24027203 DOI: 10.1111/Tops.12040 |
0.471 |
|
| 2013 |
Busemeyer JR, Wang J. Tutorial on quantum models of cognition and decision 22nd Annual Conference On Behavior Representation in Modeling and Simulation, Brims 2013 - Co-Located With the International Conference On Cognitive Modeling. 187-188. |
0.358 |
|
| 2012 |
Busemeyer JR, Wang Z, Trueblood JS. Hierarchical Bayesian estimation of quantum decision model parameters Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7620: 80-89. DOI: 10.1007/978-3-642-35659-9_8 |
0.718 |
|
| 2011 |
Wang Z, Lang A, Busemeyer JR. Motivational Processing and Choice Behavior During Television Viewing: An Integrative Dynamic Approach Journal of Communication. 61: 71-93. DOI: 10.1111/J.1460-2466.2010.01527.X |
0.425 |
|
| 2009 |
Busemeyer JR, Wang Z, Lambert-Mogiliansky A. Empirical comparison of Markov and quantum models of decision making Journal of Mathematical Psychology. 53: 423-433. DOI: 10.1016/J.Jmp.2009.03.002 |
0.489 |
|
| 2007 |
Busemeyer JR, Wang Z. Quantum information processing explanation for interactions between inferences and decisions Aaai Spring Symposium - Technical Report. 91-97. |
0.31 |
|
| 2006 |
Busemeyer JR, Wang Z, Townsend JT. Quantum dynamics of human decision-making Journal of Mathematical Psychology. 50: 220-241. DOI: 10.1016/J.Jmp.2006.01.003 |
0.66 |
|
| Hide low-probability matches. |
