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      The Oxford Handbook of Expertise 

      The “War” on Expertise

      edited-book
      , , ,
      Oxford University Press

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          Abstract

          Five communities actively disparage the benefits of expertise. This chapter explains why their criticisms are misguided. Experimental psychologists have shown that linear models can outperform experts, but the factors driving these models are drawn from experts’ judgments. The Heuristics and Biases community asserts that experts are prone to flawed reasoning, but ignores the ways that heuristics let us handle complexity and ambiguity. The evidence-based performance community wants practitioners to rely on best practices identified through carefully designed research, but ignores the cognitive challenges of handling incidents that involve multiple interactions and demand adaptation. Computer scientists have shown that artificial intelligence can outperform experts in games such as chess and Go—fixed tasks with little ambiguity. Some sociologists argue that expertise is just a social attribution, an ideological position that minimizes the contributions of individual experts. Studying these criticisms can help us discover better methods for supporting experts and fostering expertise.

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          Most cited references108

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          Judgment under Uncertainty: Heuristics and Biases.

          This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and (iii) adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty.
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            Heuristics and Biases

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              The framing of decisions and the psychology of choice.

              The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways. Reversals of preference are demonstrated in choices regarding monetary outcomes, both hypothetical and real, and in questions pertaining to the loss of human lives. The effects of frames on preferences are compared to the effects of perspectives on perceptual appearance. The dependence of preferences on the formulation of decision problems is a significant concern for the theory of rational choice.
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                Book Chapter
                October 09 2018
                : 1157-1192
                10.1093/oxfordhb/9780198795872.013.50
                1dc76e0f-b332-4726-8ac1-9829ecd8358e
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