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ORCIDJerome R. Busemeyer
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Journal Articles
- 2023
[j21]Rong Zheng, Jerome R. Busemeyer, Robert M. Nosofsky:
Integrating Categorization and Decision-Making. Cogn. Sci. 47(1) (2023)- 2022
- [j20]Torr Polakow, Guy Laban
, Andrei Teodorescu, Jerome R. Busemeyer, Goren Gordon:
Social robot advisors: effects of robot judgmental fallacies and context. Intell. Serv. Robotics 15(5): 593-609 (2022) - [j19]Zheng Wang, Jerome R. Busemeyer, Brahm deBuys:
Beliefs, Actions, and Rationality in Strategical Decisions. Top. Cogn. Sci. 14(3): 492-507 (2022) - 2021
- [j18]Qizi Zhang, Jerome R. Busemeyer:
A Quantum Walk Model for Idea Propagation in Social Network and Group Decision Making. Entropy 23(5): 622 (2021) - 2020
- [j17]Jerome R. Busemeyer, Qizi Zhang, S. N. Balakrishnan, Zheng Wang:
Application of Quantum - Markov Open System Models to Human Cognition and Decision. Entropy 22(9): 990 (2020) - 2018
- [j16]Jerome R. Busemeyer, Zheng Wang:
Data fusion using Hilbert space multi-dimensional models. Theor. Comput. Sci. 752: 41-55 (2018) - 2017
- [j15]Cleotilde Gonzalez, Pegah Fakhari, Jerome R. Busemeyer:
Dynamic Decision Making: Learning Processes and New Research Directions. Hum. Factors 59(5): 713-721 (2017) - [j14]Karthikeyan Rajagopal, Sivasubramanya Nadar Balakrishnan, Jerome R. Busemeyer:
Neural Network-Based Solutions for Stochastic Optimal Control Using Path Integrals. IEEE Trans. Neural Networks Learn. Syst. 28(3): 534-545 (2017) - 2014
- [j13]Jerome R. Busemeyer, Zheng Wang:
Quantum Cognition: Key Issues and Discussion. Top. Cogn. Sci. 6(1): 43-46 (2014) - 2013
- [j12]Zheng Wang, Jerome R. Busemeyer, Harald Atmanspacher, Emmanuel M. Pothos:
The Potential of Using Quantum Theory to Build Models of Cognition. Top. Cogn. Sci. 5(4): 672-688 (2013) - [j11]Zheng Wang, Jerome R. Busemeyer:
A Quantum Question Order Model Supported by Empirical Tests of an A Priori and Precise Prediction. Top. Cogn. Sci. 5(4): 689-710 (2013) - 2012
- [j10]Ariane Lambert-Mogiliansky, Jerome R. Busemeyer:
Quantum Type Indeterminacy in Dynamic Decision-Making: Self-Control through Identity Management. Games 3(2): 97-118 (2012) - [j9]Xin Shuai, Ying Ding, Jerome R. Busemeyer, Shanshan Chen, Yuyin Sun, Jie Tang:
Modeling Indirect Influence on Twitter. Int. J. Semantic Web Inf. Syst. 8(4): 20-36 (2012) - [j8]Jared M. Hotaling, Jerome R. Busemeyer:
DFT-D: a cognitive-dynamical model of dynamic decision making. Synth. 189(Supplement-1): 67-80 (2012) - 2011
- [j7]Jennifer Trueblood, Jerome R. Busemeyer:
A Quantum Probability Account of Order Effects in Inference. Cogn. Sci. 35(8): 1518-1552 (2011) - [j6]Robert W. Proctor, Shimon Y. Nof, Yuehwern Yih, Parasuram Balasubramanian, Jerome R. Busemeyer, Pascale Carayon, Chi-Yue Chiu, Fariborz Farahmand, Cleotilde Gonzalez, Jay Gore, Steven J. Landry, Mark R. Lehto, Pei-Luen Patrick Rau, William Rouse, Louis Tay, Kim-Phuong L. Vu, Sang Eun Woo, Gavriel Salvendy:
Understanding and Improving Cross-Cultural Decision Making in Design and Use of Digital Media: A Research Agenda. Int. J. Hum. Comput. Interact. 27(2): 151-190 (2011) - 2008
- [j5]Kevin A. Gluck, Paul Bello, Jerome R. Busemeyer:
Introduction to the Special Issue. Cogn. Sci. 32(8): 1245-1247 (2008) - [j4]Woo-Young Ahn, Jerome R. Busemeyer, Eric-Jan Wagenmakers, Julie C. Stout:
Comparison of Decision Learning Models Using the Generalization Criterion Method. Cogn. Sci. 32(8): 1376-1402 (2008) - [j3]Eldad Yechiam, Jerome R. Busemeyer:
Evaluating generalizability and parameter consistency in learning models. Games Econ. Behav. 63(1): 370-394 (2008) - 2006
- [j2]Jerome R. Busemeyer, Ryan K. Jessup, Joseph G. Johnson, James T. Townsend:
Building bridges between neural models and complex decision making behaviour. Neural Networks 19(8): 1047-1058 (2006) - 2002
- [j1]Jerome R. Busemeyer, Adele Diederich:
Survey of decision field theory. Math. Soc. Sci. 43(3): 345-370 (2002)
Conference and Workshop Papers
- 2023
- [c47]Jiaqi Huang, Jerome R. Busemeyer:
Comparing serial reproduction and serial prediction of random walk. CogSci 2023 - [c46]Jiaqi Huang, Jerome R. Busemeyer, Zo Ebelt, Emmanuel M. Pothos:
Quantum Sequential Sampler: a dynamical model for human probability reasoning and judgments. CogSci 2023 - 2022
- [c45]Gunnar Epping, Peter D. Kvam, Timothy J. Pleskac, Jerome R. Busemeyer:
Open System Model of Choice and Response Time. CogSci 2022 - [c44]Jiaqi Huang, Qizi Zhang, Jerome R. Busemeyer, Fritz Breithaupt:
A Quantum Walk Model For Emotion Transmission In Serial Reproduction of Narratives. CogSci 2022 - [c43]Torr Polakow, Andrei Teodorescu, Jerome R. Busemeyer, Goren Gordon:
Mitigating Judgmental Fallacies with Social Robot Advisors. RO-MAN 2022: 837-844 - 2021
- [c42]Gunnar Epping, Jerome R. Busemeyer:
Comparing Markov and quantum random walk models of categorization decisions. CogSci 2021 - 2019
- [c41]Emmanuel M. Pothos, James M. Yearsley, Zheng Wang, Peter D. Kvam, Jerome R. Busemeyer:
Full Day Tutorial on Quantum Theory in Cognitive Modeling. CogSci 2019: 21-22 - [c40]Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin:
Extending Rationality. CogSci 2019: 39-40 - 2018
- [c39]Qizi Zhang, S. N. Balakrishnan, Jerome R. Busemeyer:
Parameter Estimation with Quantum Inspired Techniques and Adaptive Multiple-Model Filters. ACC 2018: 925-930 - [c38]Jerome R. Busemeyer, Peter Bruza, Peter D. Kvam, Zheng Wang:
Full Day Tutorial on Quantum Models of Cognition and Decision. CogSci 2018 - [c37]Jerome R. Busemeyer, Peter D. Kvam, Timothy J. Pleskac:
Comparing Markov versus quantum dynamic models of changes in confidence during evidence monitoring. CogSci 2018 - [c36]Peter D. Kvam, Jerome R. Busemeyer:
Dynamic and distributional properties of prices. CogSci 2018 - [c35]Jan Broekaert, Jerome R. Busemeyer:
Episodic Source Memory over Distribution by Quantum-Like Dynamics - A Model Exploration. QI 2018: 63-75 - 2016
- [c34]Karthikeyan Rajagopal, Sivasubramanya Nadar Balakrishnan, Jerome R. Busemeyer:
Optimal controller design for control-affine stochastic systems using neural networks and path integrals. ACC 2016: 3032-3037 - [c33]Jennifer Trueblood, James M. Yearsley, Peter D. Kvam, Zheng Wang, Jerome R. Busemeyer:
Full Day Tutorial on Quantum Models of Cognition and Decision. CogSci 2016 - 2015
- [c32]Jennifer Trueblood, James M. Yearsley, Zheng Wang, Jerome R. Busemeyer:
Full Day Tutorial on Quantum Models of Cognition and Decision. CogSci 2015 - 2014
- [c31]Bradley C. Love, Jana Jarecki, Jerome R. Busemeyer, Niels A. Taatgen, Thomas L. Griffiths, Mirjam Jenny:
Moot Point Process Models. CogSci 2014 - [c30]Zheng Wang, Jerome R. Busemeyer, Jennifer Trueblood:
Full Day Tutorial on Quantum Models of Cognition and Decision. CogSci 2014 - 2013
- [c29]Jerome R. Busemeyer, Adele Diederich, Andrew Heathcote, Antonio Rangel, Jörg Rieskamp, Marius Usher:
Sequential Sampling Models Representing a Unifying Framework of Human Decision Making. CogSci 2013 - [c28]Jared M. Hotaling, Andrew Cohen, Jerome R. Busemeyer, Richard M. Shiffrin:
Dilution Effects in Perceptual Information Integration. CogSci 2013 - [c27]Emmanuel M. Pothos, Zheng Wang, Jerome R. Busemeyer:
Half Day Tutorial on Using Quantum Probability Theory to Model Cognition. CogSci 2013 - [c26]Joëlle Proust, Emmanuel M. Pothos, Jerome R. Busemeyer, Ryan Miller, Fiery Cushman, Katinka J. P. Quintelier, Shira Elqayam, Valerie A. Thompson, Jonathan St. B. T. Evans, David E. Over, Meredith R. Wilkinson:
Thinking about norms: Epistemic, rational, and moral norms in human thinking. CogSci 2013 - [c25]Zheng Wang, Tyler Solloway, Jerome R. Busemeyer:
New Empirical Tests of a Quantum Model for Question Order Effects. CogSci 2013 - [c24]Lee White, Emmanuel M. Pothos, Jerome R. Busemeyer:
A quantum probability perspective on the nature of psychological uncertainty. CogSci 2013 - [c23]Elizabeth S. Veinott, James Leonard, Elizabeth Lerner Papautsky, Brandon Perelman, Aleksandra S. Stankovic, Jared Lorince, Jared M. Hotaling, Travis L. Ross, Peter M. Todd, Edward Castronova, Jerome R. Busemeyer, Chris Hale, Richard Catrambone, Elizabeth T. Whitaker, Olivia Fox, John M. Flach, Robert R. Hoffman:
The effect of camera perspective and session duration on training decision making in a serious video game. IGIC 2013: 256-262 - [c22]Peter D. Kvam, Jerome R. Busemeyer, Ariane Lambert-Mogiliansky:
An Empirical Test of Type-Indeterminacy in the Prisoner's Dilemma. QI 2013: 213-224 - [c21]Peter D. Kvam, Timothy J. Pleskac, Jerome R. Busemeyer, Shuli Yu:
Interference in Choice and Confidence: Using the Quantum Random Walk to Model Distributions of Confidence. QI 2013: 225-230 - 2012
- [c20]Woo-Young Ahn, Olga Rass, Yongwook Shin, Jerome R. Busemeyer, Joshua W. Brown, Brian F. O'Donnell:
Emotion-Based Reinforcement Learning. CogSci 2012 - [c19]Jerome R. Busemeyer, Peter Bruza, Taiki Takahashi, Jennifer Trueblood:
Full day tutorial on Quantum models of cognition and decision. CogSci 2012 - [c18]Jennifer Trueblood, Scott D. Brown, Andrew Heathcote, Jerome R. Busemeyer:
Not just for consumers: Data and theory show that context effects are fundamental to decision-making. CogSci 2012 - [c17]Takashi Tsuzuki, Jerome R. Busemeyer:
A Multi-Measure Analysis of Context Effects in Multi-Attribute Decision Making: Examining the Similarity, Attraction, and Compromise Effects. CogSci 2012 - [c16]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
How can spreaders affect the indirect infuence on twitter? JCDL 2012: 385-386 - [c15]Jerome R. Busemeyer, Zheng Wang, Jennifer Trueblood:
Hierarchical Bayesian Estimation of Quantum Decision Model Parameters. QI 2012: 80-89 - [c14]Ariane Lambert-Mogiliansky, Jerome R. Busemeyer:
Emergence and Instability of Individual Identity. QI 2012: 102-113 - [c13]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
Multiple spreaders affect the indirect influence on twitter. WWW (Companion Volume) 2012: 597-598 - 2011
- [c12]A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin:
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci 2011 - [c11]Emmanuel M. Pothos, Jerome R. Busemeyer:
A Quantum Probability Explanation for Violations of Symmetry in Similarity Judgments. CogSci 2011 - [c10]Emmanuel M. Pothos, Jerome R. Busemeyer, Richard M. Shiffrin, Jennifer Trueblood, Zheng Wang, Reinhard Blutner, Harald Atmanspacher:
The Potential of Quantum Probability for Modeling Cognitive Processes. CogSci 2011 - [c9]Jennifer Trueblood, Michael Endres, Jerome R. Busemeyer, Peter Finn:
Modeling Response Times in the Go/No-Go Discrimination Task. CogSci 2011 - [c8]Ariane Lambert-Mogiliansky, Jerome R. Busemeyer:
Dynamic Optimization with Type Indeterminate Decision-Maker: A Theory of Multiple-self Management. QI 2011: 71-82 - 2010
- [c7]Jerome R. Busemeyer, Jennifer Trueblood:
Quantum Model for Conjoint Recognition. AAAI Fall Symposium: Quantum Informatics for Cognitive, Social, and Semantic Processes 2010 - 2009
- [c6]Jiyun Li, Jerome R. Busemeyer:
Combine the Objective Features with the Subjective Feelings in Personal Multi-alternative Decision Making Modeling. Brain Informatics 2009: 194-202 - [c5]Jerome R. Busemeyer:
Introduction to Quantum Probability for Social and Behavioral Scientists. QI 2009: 1-2 - [c4]Jerome R. Busemeyer, Jennifer Trueblood:
Comparison of Quantum and Bayesian Inference Models. QI 2009: 29-43 - [c3]Jerome R. Busemeyer, Ariane Lambert-Mogiliansky:
An Exploration of Type Indeterminacy in Strategic Decision-Making. QI 2009: 113-127 - 2007
- [c2]Jerome R. Busemeyer, Zheng Wang:
Quantum Information Processing Explanation for Interactions between Inferences and Decisions. AAAI Spring Symposium: Quantum Interaction 2007: 91-97 - 2004
- [c1]Tei Laine, Jerome R. Busemeyer:
Comparing Agent-Based Learning Models of Land-Use Decision Making. ICCM 2004: 142-147
Parts in Books or Collections
- 2007
- [p1]Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup:
Integrating Emotional Processes Into DecisionMaking Models. Integrated Models of Cognitive Systems 2007: 213-229
Editorship
- 2012
- [e1]Jerome R. Busemeyer, François Dubois, Ariane Lambert-Mogiliansky, Massimo Melucci:
Quantum Interaction - 6th International Symposium, QI 2012, Paris, France, June 27-29, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7620, Springer 2012, ISBN 978-3-642-35658-2 [contents]
Informal and Other Publications
- 2023
- [i5]Raghavendra Pradyumna Pothukuchi, Leon Lufkin, Yu Jun Shen, Alejandro Simon, Rome Thorstenson, Bernardo Eilert Trevisan, Michael Tu, Mudi Yang, Ben Foxman, Viswanatha Srinivas Pothukuchi, Gunnar Epping, Bryant J. Jongkees, Thi Ha Kyaw, Jerome R. Busemeyer, Jonathan D. Cohen, Abhishek Bhattacharjee:
Quantum Cognitive Modeling: New Applications and Systems Research Directions. CoRR abs/2309.00597 (2023) - 2021
- [i4]Qizi Zhang, Venkata Sriram Siddhardh Nadendla, S. N. Balakrishnan, Jerome R. Busemeyer:
Strategic Mitigation of Agent Inattention in Drivers with Open-Quantum Cognition Models. CoRR abs/2107.09888 (2021) - 2019
- [i3]Jerome R. Busemeyer, Peter D. Kvam, Timothy J. Pleskac:
Markov versus quantum dynamic models of belief change during evidence monitoring. CoRR abs/1905.05288 (2019) - 2012
- [i2]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
Multiple spreaders affect the indirect influence on Twitter. CoRR abs/1202.6601 (2012) - 2011
- [i1]Xin Shuai, Ying Ding, Jerome R. Busemeyer, Yuyin Sun, Shanshan Chen, Jie Tang:
Does Quantum Interference exist in Twitter? CoRR abs/1107.0681 (2011)
Coauthor Index
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