Rationality, Cognitive Bias, and Artificial Intelligence: A Structural Perspective on Quantum Cognitive Science
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[1] Mark W. Altom,et al. Given versus induced category representations: use of prototype and exemplar information in classification. , 1984, Journal of experimental psychology. Learning, memory, and cognition.
[2] Yoshihiro Maruyama. The Frame Problem, Gödelian Incompleteness, and the Lucas-Penrose Argument: A Structural Analysis of Arguments About Limits of AI, and Its Physical and Metaphysical Consequences , 2017, PT-AI.
[3] Richard M. Shiffrin,et al. Context effects produced by question orders reveal quantum nature of human judgments , 2014, Proceedings of the National Academy of Sciences.
[4] Samson Abramsky,et al. Logical Bell Inequalities , 2012, ArXiv.
[5] A. Tversky,et al. Choice under Conflict: The Dynamics of Deferred Decision , 1992 .
[6] Samson Abramsky,et al. The sheaf-theoretic structure of non-locality and contextuality , 2011, 1102.0264.
[7] H. Simon. Bounded Rationality and Organizational Learning , 1991 .
[8] Yoshihiro Maruyama. Contextuality Across the Sciences: Bell-Type Theorems in Physics and Cognitive Science , 2019, CONTEXT.
[9] Yoshihiro Maruyama,et al. AI, Quantum Information, and External Semantic Realism: Searle's Observer-Relativity and Chinese Room, Revisited , 2013, PT-AI.
[10] A. Sen,et al. Rational Fools: A Critique of the Behavioral Foundations of Economic Theory , 1977 .
[11] Samson Abramsky,et al. A categorical semantics of quantum protocols , 2004, LICS 2004.
[12] David W. Moore. Measuring New Types of Question-Order Effects: Additive and Subtractive , 2002 .
[13] J. Busemeyer,et al. A quantum probability explanation for violations of ‘rational’ decision theory , 2009, Proceedings of the Royal Society B: Biological Sciences.
[14] Matt Jones,et al. On contextuality in behavioural data , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[15] Yoshihiro Maruyama,et al. Compositionality and Contextuality: The Symbolic and Statistical Theories of Meaning , 2019, CONTEXT.
[16] A. Kitaoka,et al. Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction , 2018, Front. Psychol..
[17] Ehtibar N. Dzhafarov,et al. Snow Queen Is Evil and Beautiful: Experimental Evidence for Probabilistic Contextuality in Human Choices , 2017, Decision.
[18] Arvind Narayanan,et al. Semantics derived automatically from language corpora contain human-like biases , 2016, Science.
[19] Yoshihiro Maruyama. Quantum Pancomputationalism and Statistical Data Science: From Symbolic to Statistical AI, and to Quantum AI , 2017, PT-AI.
[20] Peter Jipsen,et al. Residuated lattices: An algebraic glimpse at sub-structural logics , 2007 .
[21] A. Tversky,et al. Subjective Probability: A Judgment of Representativeness , 1972 .
[22] D. Chalmers. The conscious mind: in search of a fundamental theory , 1996 .
[23] Stephen Clark,et al. Mathematical Foundations for a Compositional Distributional Model of Meaning , 2010, ArXiv.
[24] Mehrnoosh Sadrzadeh,et al. Experimental Support for a Categorical Compositional Distributional Model of Meaning , 2011, EMNLP.
[25] Jerome R. Busemeyer,et al. Quantum Models of Cognition and Decision , 2012 .