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      The Political Psychology of Democratic Citizenship 

      Chapter 3 What Knowledge is of Most Worth?

      edited-book
      Oxford University PressNew York

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          Abstract

          Most research on political knowledge focuses on declarative knowledge or specific facts about politics. By contrast, this chapter posits the importance of operative knowledge action, which is comprised of: (1) the intention to achieve one or more goals that define a given civic task; (2) a process for achieving these goals; and (3) heuristics for selecting actions down a goal path. It is suggested that operative knowledge for civic action lies at the heart of many political activities and should be assessed whenever researchers attempt to infer the knowledge individuals have of the process for participating in the political life of their society. This chapter develops an argument for how operative knowledge is acquired, the contexts in which it is deployed, the mental models that initiate its use, and provides examples of heuristic elements of this knowledge that lead to civic behaviors. Finally, it proposes the concept of civic intelligence as a general rubric under which to consider different kinds of political knowledge.

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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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            The evolution of cooperation

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              The logic of social exchange: has natural selection shaped how humans reason? Studies with the Wason selection task.

              In order to successfully engage in social exchange--cooperation between two or more individuals for mutual benefit--humans must be able to solve a number of complex computational problems, and do so with special efficiency. Following Marr (1982), Cosmides (1985) and Cosmides and Tooby (1989) used evolutionary principles to develop a computational theory of these adaptive problems. Specific hypotheses concerning the structure of the algorithms that govern how humans reason about social exchange were derived from this computational theory. This article presents a series of experiments designed to test these hypotheses, using the Wason selection task, a test of logical reasoning. Part I reports experiments testing social exchange theory against the availability theories of reasoning; Part II reports experiments testing it against Cheng and Holyoak's (1985) permission schema theory. The experimental design included eight critical tests designed to choose between social exchange theory and these other two families of theories; the results of all eight tests support social exchange theory. The hypothesis that the human mind includes cognitive processes specialized for reasoning about social exchange predicts the content effects found in these experiments, and parsimoniously explains those that have already been reported in the literature. The implications of this line of research for a modular view of human reasoning are discussed, as well as the utility of evolutionary biology in the development of computational theories.
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                Author and book information

                Book Chapter
                April 30 2009
                : 52-70
                10.1093/acprof:oso/9780195335453.003.0003
                00415b19-b94c-41e4-8e8b-1fec374e217f
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