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  1. The Authors.[author unknown] - 1973 - Proceedings of the Heraclitean Society 1 (1).
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  • The 2N-ary Choice Tree Model for N-Alternative Preferential Choice.Lena M. Wollschläger & Adele Diederich - 2012 - Frontiers in Psychology 3.
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  • The time course of perceptual choice: The leaky, competing accumulator model.Marius Usher & James L. McClelland - 2001 - Psychological Review 108 (3):550-592.
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  • Elimination by aspects: A theory of choice.Amos Tversky - 1972 - Psychological Review 79 (4):281-299.
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  • The multiattribute linear ballistic accumulator model of context effects in multialternative choice.Jennifer S. Trueblood, Scott D. Brown & Andrew Heathcote - 2014 - Psychological Review 121 (2):179-205.
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  • Why do humans reason? Arguments for an argumentative theory.Dan Sperber - 2011 - Behavioral and Brain Sciences 34 (2):57.
    Short abstract (98 words). Reasoning is generally seen as a means to improve knowledge and make better decisions. However, much evidence shows that reasoning often leads to epistemic distortions and poor decisions. This suggests that the function of reasoning should be rethought. Our hypothesis is that the function of reasoning is argumentative. It is to devise and evaluate arguments intended to persuade. Reasoning so conceived is adaptive given humans’ exceptional dependence on communication and vulnerability to misinformation. A wide range of (...)
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  • Multialternative decision field theory: A dynamic connectionst model of decision making.Robert M. Roe, Jermone R. Busemeyer & James T. Townsend - 2001 - Psychological Review 108 (2):370-392.
  • Theoretical developments in decision field theory: Comment on Tsetsos, Usher, and Chater (2010).Jared M. Hotaling, Jerome R. Busemeyer & Jiyun Li - 2010 - Psychological Review 117 (4):1294-1298.
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  • New paradoxes of risky decision making.Michael H. Birnbaum - 2008 - Psychological Review 115 (2):463-501.
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  • Associations and the accumulation of preference.Sudeep Bhatia - 2013 - Psychological Review 120 (3):522-543.
  • Decision by sampling.Nick Chater & Gordon D. A. Brown - unknown
    We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute’s subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision’s context and also the background, real-world distribution of attribute (...)
     
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  • A decision-by-sampling account of decision under risk.Neil Stewart & Keith Simpson - 2008 - In Nick Chater & Mike Oaksford (eds.), The Probabilistic Mind: Prospects for Bayesian Cognitive Science. Oxford University Press. pp. 261--276.
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