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James Shanteau [7]James C. Shanteau [2]
  1.  18
    Information Integration in Risky Decision Making.Norman H. Anderson & James C. Shanteau - 1970 - Journal of Experimental Psychology 84 (3):441.
    Applied a theory of information integration to decision making with probabilistic events. 10 undergraduates judged the subjective worth of duplex bets that included independent gain and lose components. The worth of each component was assumed to be the product of a subjective weight that reflected the probability of winning or losing, and the subjective worth of the money to be won or lost. The total worth of the bet was the sum of the worths of the 2 components. Thus, each (...)
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  2.  10
    Component Processes in Risky Decision Making.James Shanteau - 1974 - Journal of Experimental Psychology 103 (4):680.
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  3.  18
    An Additive Model for Sequential Decision Making.James C. Shanteau - 1970 - Journal of Experimental Psychology 85 (2):181.
  4.  34
    Descriptive Versus Normative Models of Sequential Inference Judgment.James Shanteau - 1972 - Journal of Experimental Psychology 93 (1):63.
  5.  13
    The Unbearable Lightness of “Thinking”: Moving Beyond Simple Concepts of Thinking, Rationality, and Hypothesis Testing.Gary L. Brase & James Shanteau - 2011 - Behavioral and Brain Sciences 34 (5):250-251.
    Three correctives can get researchers out of the trap of constructing unitary theories of : (1) Strong inference methods largely avoid problems associated with universal prescriptive normativism; (2) theories must recognize that significant modularity of cognitive processes is antithetical to general accounts of thinking; and (3) consideration of the domain-specificity of rationality render many of the present article's issues moot.
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  6.  28
    Fast and Frugal Heuristics: What About Unfriendly Environments?James Shanteau & Rickey P. Thomas - 2000 - Behavioral and Brain Sciences 23 (5):762-763.
    Simple heuristics that make us smart offers an impressive compilation of work that demonstrates fast and frugal (one-reason) heuristics can be simple, adaptive, and accurate. However, many decision environments differ from those explored in the book. We conducted a Monte Carlo simulation that shows one-reason strategies are accurate in “friendly” environments, but less accurate in “unfriendly” environments characterized by negative cue intercorrelations, that is, tradeoffs.
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  7.  14
    Correlation as a Deceiving Measure of Fit.James Shanteau - 1977 - Bulletin of the Psychonomic Society 10 (2):134-136.
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  8.  17
    Integration Theory Applied to Judgments of the Value of Information.James Shanteau & Norman H. Anderson - 1972 - Journal of Experimental Psychology 92 (2):266.
  9.  14
    Physics Envy: Trying to Fit a Square Peg Into a Round Hole.James Shanteau & David J. Weiss - 2013 - Behavioral and Brain Sciences 36 (3):306-307.
    Pothos & Busemeyer (P&B) argue that classical probability (CP) fails to describe human decision processes accurately and should be supplanted by quantum probability. We accept the premise, but reject P&B's conclusion. CP is a prescriptive framework that has inspired a great deal of valuable research. Also, because CP is used across the sciences, it is a cornerstone of interdisciplinary collaboration.
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