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  1. Unpacking, repacking, and anchoring: Advances in support theory.Yuval Rottenstreich & Amos Tversky - 1997 - Psychological Review 104 (2):406-415.
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  • Support theory: A nonextensional representation of subjective probability.Amos Tversky & Derek J. Koehler - 1994 - Psychological Review 101 (4):547-567.
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  • Category-based induction.Daniel N. Osherson, Edward E. Smith, Ormond Wilkie & Alejandro López - 1990 - Psychological Review 97 (2):185-200.
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  • Rationality in reasoning: The problem of deductive competence.Jonathan Evans & David E. Over - unknown - Current Psychology of Cognition 16 (1-2):3-38.
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  • Deduction from Uncertain Premises.Rosemary J. Stevenson & David E. Over - 1995 - Quarterly Journal of Experimental Psychology Section A 48 (3):613-643.
    We investigate how the perceived uncertainty of a conditional affects a person's choice of conclusion. We use a novel procedure to introduce uncertainty by manipulating the conditional probability of the consequent given the antecedent. In Experiment 1, we show first that subjects reduce their choice of valid conclusions when a conditional is followed by an additional premise that makes the major premise uncertain. In this we replicate Byrne. These subjects choose, instead, a qualified conclusion expressing uncertainty. If subjects are given (...)
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  • Conditional reasoning and causation.Denise D. Cummins, Todd Lubart, Olaf Alksnis & Robert Rist - 1991 - Memory and Cognition 19 (3):274-282.
    An experiment was conducted to investigate the relative contributions of syntactic form and content to conditional reasoning. The content domain chosen was that of causation. Conditional statements that described causal relationships were embedded in simple arguments whose entailments are governed by the rules -of truth-functional logic. The causal statements differed in terms of the number of alternative causes and disabling conditions that characterized the causal relationship. Subjects were required to judge whether or not each argument’s conclusion could be accepted. Judgments (...)
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  • The empirical case for two systems of reasoning.Steven A. Sloman - 1996 - Psychological Bulletin 119 (1):3-22.
    Distinctions have been proposed between systems of reasoning for centuries. This article distills properties shared by many of these distinctions and characterizes the resulting systems in light of recent findings and theoretical developments. One system is associative because its computations reflect similarity structure and relations of temporal contiguity. The other is "rule based" because it operates on symbolic structures that have logical content and variables and because its computations have the properties that are normally assigned to rules. The systems serve (...)
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  • Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: 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; 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 adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Probability and choice in the selection task.David W. Green, David E. Over & Robin A. Pyne - 1997 - Thinking and Reasoning 3 (3):209-235.
    Two experiments using a realistic version of the selection task examined the relationship between participants' probability estimates of finding a counter example and their selections. Experiment 1 used everyday categories in the context of a scenario to determine whether or not the number of instances in a category affected the estimated probability of a counter-example. Experiment 2 modified the scenario in order to alter participants' estimates of finding a specific counter-example. Unlike Kirby 1994a, but consistent with his proposals, both studies (...)
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  • Similarity, plausibility, and judgments of probability.E. Smith - 1993 - Cognition 49 (1-2):67-96.
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  • Mental models and probabilistic thinking.Philip N. Johnson-Laird - 1994 - Cognition 50 (1-3):189-209.
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  • Reasoning from uncertain premises.Christian George - 1997 - Thinking and Reasoning 3 (3):161 – 189.
    Previous studies have shown that 1 participants are reluctant to accept a conclusion as certainly true when it is derived from a valid conditional argument that includes a doubtful premise, and 2 participants typically link the degree of uncertainty found in a given premise set to its conclusion. Two experiments were designed to further investigate these phenomena. Ninety adult participants in Experiment 1 were first asked to judge the validity of three conditional arguments Modus Ponens, Denial of the Antecedent, and (...)
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  • On the uncertainties transmitted from premises to conclusions in deductive inferences.Ernest W. Adams & Howard P. Levine - 1975 - Synthese 30 (3-4):429 - 460.
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  • Measures of uncertainty in expert systems.Peter Walley - 1996 - Artificial Intelligence 83 (1):1-58.
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  • Non-additive probabilities in the work of Bernoulli and Lambert.Glenn Shafer - 1978 - Archive for History of Exact Sciences 19 (4):309-370.
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  • A method for managing evidential reasoning in a hierarchical hypothesis space.Jean Gordon & Edward H. Shortliffe - 1985 - Artificial Intelligence 26 (3):323-357.
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  • The Uses of Argument.Stephen E. Toulmin - 1958 - Philosophy 34 (130):244-245.
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