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  1. On the Psychology of Prediction.Daniel Kahneman & Amos Tversky - 1973 - Psychological Review 80 (4):237-251.
    Considers that intuitive predictions follow a judgmental heuristic-representativeness. By this heuristic, people predict the outcome that appears most representative of the evidence. Consequently, intuitive predictions are insensitive to the reliability of the evidence or to the prior probability of the outcome, in violation of the logic of statistical prediction. The hypothesis that people predict by representativeness was supported in a series of studies with both naive and sophisticated university students. The ranking of outcomes by likelihood coincided with the ranking by (...)
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  • Complexity: From Formal Analysis to Final Action.Douglas Frye & Philip David Zelazo - 1998 - Behavioral and Brain Sciences 21 (6):836-837.
    Relational complexity provides a metric for measuring task demands, and in this respect has much in common with the cognitive complexity and control theory. However, relational complexity does not account for the relative difficulty of different relational types, and appears to underestimate the importance of changes in children's ability to act on the basis of their understanding.
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  • Structure‐Mapping: A Theoretical Framework for Analogy.Dedre Gentner - 1983 - Cognitive Science 7 (2):155-170.
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  • Processing Capacity Defined by Relational Complexity: Implications for Comparative, Developmental, and Cognitive Psychology.Graeme S. Halford, William H. Wilson & Steven Phillips - 1998 - Behavioral and Brain Sciences 21 (6):803-831.
    Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A unary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two instantiations, and so on. Dimensionality is related to the number of chunks, because (...)
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  • Is Human Cognition Adaptive?John R. Anderson - 1991 - Behavioral and Brain Sciences 14 (3):471-485.
    Can the output of human cognition be predicted from the assumption that it is an optimal response to the information-processing demands of the environment? A methodology called rational analysis is described for deriving predictions about cognitive phenomena using optimization assumptions. The predictions flow from the statistical structure of the environment and not the assumed structure of the mind. Bayesian inference is used, assuming that people start with a weak prior model of the world which they integrate with experience to develop (...)
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  • Can Human Irrationality Be Experimentally Demonstrated?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):317-370.
    The object of this paper is to show why recent research in the psychology of deductive and probabilistic reasoning does not have.
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  • Development of Theory of Mind and Executive Control.Josef Perner & Birgit Lang - 1999 - Trends in Cognitive Sciences 3 (9):337-344.
  • Pragmatic Reasoning Schemas.Patricia W. Cheng & Keith J. Holyoak - 1985 - Cognitive Psychology 17 (4):391-416.
    We propose that people typically reason about realistic situations using neither content-free syntactic inference rules nor representations of specific experiences. Rather, people reason using knowledge structures that we term pragmatic reasoning schemas, which are generalized sets of rules defined in relation to classes of goals. Three experiments examined the impact of a “permission schema” on deductive reasoning. Experiment 1 demonstrated that by evoking the permission schema it is possible to facilitate performance in Wason's selection paradigm for subjects who have had (...)
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  • The Development of Conditional Reasoning: A Mental Model Account.Henry Markovits & Pierre Barrouillet - 2002 - Developmental Review 22 (1):5-36.
    Conditional reasoning is one of the key components of logical reasoning. Studies examining the way that children and adults make conditional inferences have shown that while there are some clear developmental patterns, there is also a great deal of variation in performance due to factors such as problem content. Such variation is difficult to model without an explicit process model. In the following we propose a variant of mental model theory that can explain much of the empirical data. This model (...)
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