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  1. (1 other version)Probabilistic interpretations of argumentative attacks: Logical and experimental results.Niki Pfeifer & Christian G. Fermüller - 2023 - Argument and Computation 14 (1):75-107.
    We present an interdisciplinary approach to argumentation combining logical, probabilistic, and psychological perspectives. We investigate logical attack principles which relate attacks among claims with logical form. For example, we consider the principle that an argument that attacks another argument claiming A triggers the existence of an attack on an argument featuring the stronger claim A ∧ B. We formulate a number of such principles pertaining to conjunctive, disjunctive, negated, and implicational claims. Some of these attack principles seem to be prima (...)
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  • On trivalent logics, probabilistic weak deduction theorems, and a general import-export principle.Angelo Gilio, David E. Over, Niki Pfeifer & Giuseppe Sanfilippo - 2024 - Artificial Intelligence 337 (C):104229.
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  • Conditionals, Causality and Conditional Probability.Robert van Rooij & Katrin Schulz - 2018 - Journal of Logic, Language and Information 28 (1):55-71.
    The appropriateness, or acceptability, of a conditional does not just ‘go with’ the corresponding conditional probability. A condition of dependence is required as well. In this paper a particular notion of dependence is proposed. It is shown that under both a forward causal and a backward evidential reading of the conditional, this appropriateness condition reduces to conditional probability under some natural circumstances. Because this is in particular the case for the so-called diagnostic reading of the conditional, this analysis might help (...)
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  • Imprecise Uncertain Reasoning: A Distributional Approach.Gernot D. Kleiter - 2018 - Frontiers in Psychology 9.
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  • Reference Dependence in Bayesian Reasoning: Value Selection Bias, Congruence Effects, and Response Prompt Sensitivity.Alaina Talboy & Sandra Schneider - 2022 - Frontiers in Psychology 13.
    This work examines the influence of reference dependence, including value selection bias and congruence effects, on diagnostic reasoning. Across two studies, we explored how dependence on the initial problem structure influences the ability to solve simplified precursors to the more traditional Bayesian reasoning problems. Analyses evaluated accuracy and types of response errors as a function of congruence between the problem presentation and question of interest, amount of information, need for computation, and individual differences in numerical abilities. Across all problem variations, (...)
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