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  1. Squaring the Dialectic of Inference and Chance.Paul Healey - 2015 - Philosophy Study 5 (5).
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  • New Normative Standards of Conditional Reasoning and the Dual-Source Model.Henrik Singmann, Karl Christoph Klauer & David Over - 2014 - Frontiers in Psychology 5.
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  • Square of Opposition Under Coherence.Niki Pfeifer & Giuseppe Sanfilippo - 2017 - In M. B. Ferraro, Alessandro Giordani, B. Vantaggi, M. Gagolewski, M. Á Gil, P. Grzegorzewski & O. Hryniewicz (eds.), Soft Methods for Data Science. Cham, Switzerland: pp. 407-414.
    Various semantics for studying the square of opposition have been proposed recently. So far, only [14] studied a probabilistic version of the square where the sentences were interpreted by (negated) defaults. We extend this work by interpreting sentences by imprecise (set-valued) probability assessments on a sequence of conditional events. We introduce the acceptability of a sentence within coherence-based probability theory. We analyze the relations of the square in terms of acceptability and show how to construct probabilistic versions of the square (...)
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  • What Society Can and Cannot Learn From Coherence: Theoretical and Practical Considerations.Niki Pfeifer & Andrea Capotorti - 2020 - In H. Yama & V. Salvano-Pardieu (eds.), Adapting Human Thinking and Moral Reasoning in Contemporary Society. Hershey, PA, USA: pp. 176-198.
    Society is facing uncertainty on a multitude of domains and levels: usually, reasoning and decisions about political, economic, or health issues must be made under uncertainty. Among various approaches to probability, this chapter presents the coherence approach to probability as a method for uncertainty management. The authors explain the role of uncertainty in the context of important societal issues like legal reasoning and vaccination hesitancy. Finally, the chapter presents selected psychological factors which impact probabilistic representation and reasoning and discusses what (...)
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  • Modeling the Ellsberg Paradox by Argument Strength.Niki Pfeifer & H. Pankka - 2017 - In G. Gunzelmann, A. Howes, T. Tenbrink & E. Davelaar (eds.), Proceedings of the 39th Cognitive Science Society Meeting. pp. 925-930.
    We present a formal measure of argument strength, which combines the ideas that conclusions of strong arguments are (i) highly probable and (ii) their uncertainty is relatively precise. Likewise, arguments are weak when their conclusion probability is low or when it is highly imprecise. We show how the proposed measure provides a new model of the Ellsberg paradox. Moreover, we further substantiate the psychological plausibility of our approach by an experiment (N = 60). The data show that the proposed measure (...)
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  • Building Bridges Between the World and Claims About It: Commentary on Lumer's Paper "Strength of Justification. The Rational Degree of Certainty Approach".Niki Pfeifer - 2018 - London, UK: College Publications.
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  • Structural Inference From Conditional Knowledge Bases.Gabriele Kern-Isberner & Christian Eichhorn - 2014 - Studia Logica 102 (4):751-769.
    There are several approaches implementing reasoning based on conditional knowledge bases, one of the most popular being System Z (Pearl, Proceedings of the 3rd conference on theoretical aspects of reasoning about knowledge, TARK ’90, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 121–135, 1990). We look at ranking functions (Spohn, The Laws of Belief: Ranking Theory and Its Philosophical Applications, Oxford University Press, Oxford, 2012) in general, conditional structures and c-representations (Kern-Isberner, Conditionals in Nonmonotonic Reasoning and Belief Revision: Considering (...)
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  • Conditionals, Counterfactuals, and Rational Reasoning: An Experimental Study on Basic Principles.Leena Tulkki & Niki Pfeifer - 2017 - Minds and Machines 27 (1):119-165.
    We present a unified approach for investigating rational reasoning about basic argument forms involving indicative conditionals, counterfactuals, and basic quantified statements within coherence-based probability logic. After introducing the rationality framework, we present an interactive view on the relation between normative and empirical work. Then, we report a new experiment which shows that people interpret indicative conditionals and counterfactuals by coherent conditional probability assertions and negate conditionals by negating their consequents. The data support the conditional probability interpretation of conditionals and the (...)
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  • Deciding Koopman's Qualitative Probability.Daniele Mundici - 2021 - Artificial Intelligence 299:103524.
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  • Formal Epistemology and the New Paradigm Psychology of Reasoning.Niki Pfeifer & Igor Douven - 2014 - Review of Philosophy and Psychology 5 (2):199-221.
    This position paper advocates combining formal epistemology and the new paradigm psychology of reasoning in the studies of conditionals and reasoning with uncertainty. The new paradigm psychology of reasoning is characterized by the use of probability theory as a rationality framework instead of classical logic, used by more traditional approaches to the psychology of reasoning. This paper presents a new interdisciplinary research program which involves both formal and experimental work. To illustrate the program, the paper discusses recent work on the (...)
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  • Bayesian Reasoning with Ifs and Ands and Ors.Nicole Cruz, Jean Baratgin, Mike Oaksford & David E. Over - 2015 - Frontiers in Psychology 6.
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  • The Psychology of Uncertainty and Three-Valued Truth Tables.Jean Baratgin, Guy Politzer, David E. Over & Tatsuji Takahashi - 2018 - Frontiers in Psychology 9.
    Psychological research on people’s understanding of natural language connectives has traditionally used truth table tasks, in which participants evaluate the truth or falsity of a compound sentence given the truth or falsity of its components in the framework of propositional logic. One perplexing result concerned the indicative conditional if A then C which was often evaluated as true when A and C are true, false when A is true and C is false but irrelevant“ (devoid of value) when A is (...)
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  • Deductive Reasoning Under Uncertainty: A Water Tank Analogy.Guy Politzer - 2016 - Erkenntnis 81 (3):479-506.
    This paper describes a cubic water tank equipped with a movable partition receiving various amounts of liquid used to represent joint probability distributions. This device is applied to the investigation of deductive inferences under uncertainty. The analogy is exploited to determine by qualitative reasoning the limits in probability of the conclusion of twenty basic deductive arguments (such as Modus Ponens, And-introduction, Contraposition, etc.) often used as benchmark problems by the various theoretical approaches to reasoning under uncertainty. The probability bounds imposed (...)
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  • Logic and Probability: Reasoning in Uncertain Environments – Introduction to the Special Issue.Matthias Unterhuber & Gerhard Schurz - 2014 - Studia Logica 102 (4):663-671.
    The current special issue focuses on logical and probabilistic approaches to reasoning in uncertain environments, both from a formal, conceptual and argumentative perspective as well as an empirical point of view. In the present introduction we give an overview of the types of problems addressed by the individual contributions of the special issue, based on fundamental distinctions employed in this area. We furthermore describe some of the general features of the special issue.
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  • The New Psychology of Reasoning: A Mental Probability Logical Perspective.Niki Pfeifer - 2013 - Thinking and Reasoning 19 (3-4):329-345.
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