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  1. Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.Amos Tversky & Daniel Kahneman - 1983 - Psychological Review 90 (4):293-315.
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  • A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.
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  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • Reasoning.Peter C. Wason - 1966 - In New Horizons in Psychology. Penguin Books. pp. 135-151.
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  • Features of similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.
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  • Reasoning the fast and frugal way: Models of bounded rationality.Gerd Gigerenzer & Daniel Goldstein - 1996 - Psychological Review 103 (4):650-669.
    Humans and animals make inferences about the world under limited time and knowledge. In contrast, many models of rational inference treat the mind as a Laplacean Demon, equipped with unlimited time, knowledge, and computational might. Following H. Simon's notion of satisficing, the authors have proposed a family of algorithms based on a simple psychological mechanism: one-reason decision making. These fast and frugal algorithms violate fundamental tenets of classical rationality: They neither look up nor integrate all information. By computer simulation, the (...)
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  • Can quantum probability provide a new direction for cognitive modeling?Emmanuel M. Pothos & Jerome R. Busemeyer - 2013 - Behavioral and Brain Sciences 36 (3):255-274.
    Classical (Bayesian) probability (CP) theory has led to an influential research tradition for modeling cognitive processes. Cognitive scientists have been trained to work with CP principles for so long that it is hard even to imagine alternative ways to formalize probabilities. However, in physics, quantum probability (QP) theory has been the dominant probabilistic approach for nearly 100 years. Could QP theory provide us with any advantages in cognitive modeling as well? Note first that both CP and QP theory share the (...)
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  • The Brain Is Both Neurocomputer and Quantum Computer.Stuart R. Hameroff - 2007 - Cognitive Science 31 (6):1035-1045.
    _Figure 1. Dendrites and cell bodies of schematic neurons connected by dendritic-dendritic gap junctions form a laterally connected input_ _layer (“dendritic web”) within a neurocomputational architecture. Dendritic web dynamics are temporally coupled to gamma synchrony_ _EEG, and correspond with integration phases of “integrate and fire” cycles. Axonal firings provide input to, and output from, integration_ _phases (only one input, and three output axons are shown). Cell bodies/soma contain nuclei shown as black circles; microtubule networks_ _pervade the cytoplasm. According to the (...)
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  • Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Words.Diederik Aerts & Lester Beltran - 2020 - Foundations of Science 25 (3):755-802.
    We model a piece of text of human language telling a story by means of the quantum structure describing a Bose gas in a state close to a Bose–Einstein condensate near absolute zero temperature. For this we introduce energy levels for the words used in the story and we also introduce the new notion of ‘cogniton’ as the quantum of human thought. Words are then cognitons in different energy states as it is the case for photons in different energy states, (...)
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  • A Quantum Probability Model of Causal Reasoning.Jennifer S. Trueblood & Jerome R. Busemeyer - 2012 - Frontiers in Psychology 3.
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  • A Quantum Question Order Model Supported by Empirical Tests of an A Priori and Precise Prediction.Zheng Wang & Jerome R. Busemeyer - 2013 - Topics in Cognitive Science 5 (4):689-710.
    Question order effects are commonly observed in self-report measures of judgment and attitude. This article develops a quantum question order model (the QQ model) to account for four types of question order effects observed in literature. First, the postulates of the QQ model are presented. Second, an a priori, parameter-free, and precise prediction, called the QQ equality, is derived from these mathematical principles, and six empirical data sets are used to test the prediction. Third, a new index is derived from (...)
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  • Is the brain a quantum computer?Abninder Litt, Chris Eliasmith, Frederick W. Kroon, Steven Weinstein & Paul Thagard - 2006 - Cognitive Science 30 (3):593-603.
    We argue that computation via quantum mechanical processes is irrelevant to explaining how brains produce thought, contrary to the ongoing speculations of many theorists. First, quantum effects do not have the temporal properties required for neural information processing. Second, there are substantial physical obstacles to any organic instantiation of quantum computation. Third, there is no psychological evidence that such mental phenomena as consciousness and mathematical thinking require explanation via quantum theory. We conclude that understanding brain function is unlikely to require (...)
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  • A Quantum Probability Account of Order Effects in Inference.Jennifer S. Trueblood & Jerome R. Busemeyer - 2011 - Cognitive Science 35 (8):1518-1552.
    Order of information plays a crucial role in the process of updating beliefs across time. In fact, the presence of order effects makes a classical or Bayesian approach to inference difficult. As a result, the existing models of inference, such as the belief-adjustment model, merely provide an ad hoc explanation for these effects. We postulate a quantum inference model for order effects based on the axiomatic principles of quantum probability theory. The quantum inference model explains order effects by transforming a (...)
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  • Predicting intermediate and multiple conclusions in propositional logic inference problems: Further evidence for a mental logic.Martin D. S. Braine, David P. O'Brien, Ira A. Noveck, Mark C. Samuels, R. Brooke Lea, Shalom M. Fisch & Yingrui Yang - 1995 - Journal of Experimental Psychology: General 124 (3):263.
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  • A quantum theoretical explanation for probability judgment errors.Jerome R. Busemeyer, Emmanuel M. Pothos, Riccardo Franco & Jennifer S. Trueblood - 2011 - Psychological Review 118 (2):193-218.
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  • A quantum geometric model of similarity.Emmanuel M. Pothos, Jerome R. Busemeyer & Jennifer S. Trueblood - 2013 - Psychological Review 120 (3):679-696.
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