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Katsikopoulos, Konstantinos V.; Schooler, Lael J.; Hertwig, Ralph – Psychological Review, 2010
Heuristics embodying limited information search and noncompensatory processing of information can yield robust performance relative to computationally more complex models. One criticism raised against heuristics is the argument that complexity is hidden in the calculation of the cue order used to make predictions. We discuss ways to order cues…
Descriptors: Heuristics, Computer Simulation, Cues, Prediction
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Juslin, Peter; Nilsson, Hakan; Winman, Anders – Psychological Review, 2009
Probability theory has long been taken as the self-evident norm against which to evaluate inductive reasoning, and classical demonstrations of violations of this norm include the conjunction error and base-rate neglect. Many of these phenomena require multiplicative probability integration, whereas people seem more inclined to linear additive…
Descriptors: Probability, Theories, Norms, Computer Simulation
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Messick, David M.; Liebrand, Wim B. G. – Psychological Review, 1995
Computer simulations are described in which pairs of simulated individuals in groups play a prisoner's dilemma game, with the choice to cooperate determined by one of three simple heuristics. Results reveal that the prevalence of cooperation depends on the heuristic used, value of the payoff, and the social comparison process. (SLD)
Descriptors: Computer Simulation, Cooperation, Group Dynamics, Heuristics
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Holyoak, Keith J.; And Others – Psychological Review, 1989
A theory of classical conditioning is presented, which is based on a parallel, rule-based performance system integrated with mechanisms for inductive learning. A major inferential heuristic incorporated into the theory involves "unusualness," which is focused on novel cues. The theory is implemented via computer simulation. (TJH)
Descriptors: Classical Conditioning, Computer Simulation, Heuristics, Induction