2017 - Fellow of the American Academy of Arts and Sciences
His primary areas of investigation include Cognition, Quantum probability, Artificial intelligence, Mathematical economics and Quantum cognition. His Cognition study integrates concerns from other disciplines, such as Developmental psychology, Cognitive psychology, Task and Clinical psychology. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Decision theory and A priori and a posteriori.
His Decision theory research is multidisciplinary, incorporating elements of Computerized adaptive testing, Stochastic modelling, Categorization, Optimal decision and Decision rule. Jerome R. Busemeyer works in the field of Mathematical economics, namely Decision field theory. In Quantum cognition, Jerome R. Busemeyer works on issues like Cognitive science, which are connected to Probabilistic logic, Quantum entanglement and Quantum information science.
Jerome R. Busemeyer spends much of his time researching Cognition, Artificial intelligence, Quantum probability, Cognitive psychology and Quantum cognition. The study incorporates disciplines such as Developmental psychology, Cognitive science and Task in addition to Cognition. As a part of the same scientific family, he mostly works in the field of Artificial intelligence, focusing on Decision theory and, on occasion, Decision rule.
His Cognitive psychology research focuses on Social psychology and how it relates to Stochastic game. His Quantum cognition study incorporates themes from Quantum computer, Theoretical computer science and Complementarity. His primary area of study in Mathematical economics is in the field of Decision field theory.
Jerome R. Busemeyer mostly deals with Quantum probability, Quantum, Artificial intelligence, Quantum cognition and Cognition. His work deals with themes such as Algorithm, Markov chain, Episodic memory and Hamiltonian method, which intersect with Quantum. His studies in Artificial intelligence integrate themes in fields like Machine learning, Task, Group decision-making and Communication.
His Quantum cognition research includes themes of Law of total probability, Cognitive science, Conjunction fallacy and Calculus. His Cognition research includes elements of Value and Cognitive psychology. His Cognitive psychology research is multidisciplinary, incorporating perspectives in Social psychology, Temporal discounting, Pleasure, Facial expression and Cognitive model.
His main research concerns Quantum probability, Mathematical economics, Cognition, Markov model and Quantum. His studies deal with areas such as Cognitive science, Dutch book, Stochastic dominance and Heuristic as well as Mathematical economics. His Cognition research is multidisciplinary, relying on both Computational neuroscience and Cognitive psychology.
His Cognitive psychology research focuses on subjects like Ecological validity, which are linked to Cognitive model. His Quantum study combines topics in areas such as Algorithm, Statistics and Econometrics. As part of one scientific family, Jerome R. Busemeyer deals mainly with the area of Theoretical computer science, narrowing it down to issues related to the Quantum computer, and often Artificial intelligence.
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Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment.
Jerome R. Busemeyer;James T. Townsend.
Psychological Review (1993)
Quantum Models of Cognition and Decision
Jerome R. Busemeyer;Peter D. Bruza.
(2012)
Two-stage dynamic signal detection: a theory of choice, decision time, and confidence.
Timothy J. Pleskac;Jerome R. Busemeyer.
Psychological Review (2010)
Analysis of multiplicative combination rules when the causal variables are measured with error.
Jerome R. Busemeyer;Lawrence E. Jones.
Psychological Bulletin (1983)
A contribution of cognitive decision models to clinical assessment: Decomposing performance on the Bechara gambling task.
Jerome R. Busemeyer;Julie C. Stout.
Psychological Assessment (2002)
Quantum Models of Cognition and Decision: Frontmatter
Jerome R. Busemeyer;Peter D. Bruza.
(2012)
Quantum dynamics of human decision-making
Jerome R. Busemeyer;Zheng Wang;James T. Townsend.
Journal of Mathematical Psychology (2006)
A quantum probability explanation for violations of ‘rational’ decision theory
Emmanuel M. Pothos;Jerome R. Busemeyer.
Proceedings of The Royal Society B: Biological Sciences (2009)
A Quantum Theoretical Explanation for Probability Judgment Errors.
Jerome R. Busemeyer;Emmanuel M. Pothos;Riccardo Franco;Jennifer S. Trueblood.
Psychological Review (2011)
Can quantum probability provide a new direction for cognitive modeling
Emmanuel M. Pothos;Jerome R. Busemeyer.
Behavioral and Brain Sciences (2013)
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