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  1. A General Structure for Legal Arguments About Evidence Using Bayesian Networks.Norman Fenton, Martin Neil & David A. Lagnado - 2013 - Cognitive Science 37 (1):61-102.
    A Bayesian network (BN) is a graphical model of uncertainty that is especially well suited to legal arguments. It enables us to visualize and model dependencies between different hypotheses and pieces of evidence and to calculate the revised probability beliefs about all uncertain factors when any piece of new evidence is presented. Although BNs have been widely discussed and recently used in the context of legal arguments, there is no systematic, repeatable method for modeling legal arguments as BNs. Hence, where (...)
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  • The kind of group you want to belong to: Effects of group structure on group accuracy.Martin L. Jönsson, Ulrike Hahn & Erik J. Olsson - 2015 - Cognition 142 (C):191-204.
    There has been much interest in group judgment and the so-called 'wisdom of crowds'. In many real world contexts, members of groups not only share a dependence on external sources of information, but they also communicate with one another, thus introducing correlations among their responses that can diminish collective accuracy. This has long been known, but it has-to date-not been examined to what extent different kinds of communication networks may give rise to systematically different effects on accuracy. We argue that (...)
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  • How Communication Can Make Voters Choose Less Well.Ulrike Hahn, Momme von Sydow & Christoph Merdes - 2019 - Topics in Cognitive Science 11 (1):194-206.
    In recent years, the receipt and the perception of information has changed in ways which have fueled fears about the fates of our democracies. However, real information on these possibilities or the direction of these changes does not exist. Into this gap, Hahn and colleagues bring the power of Condorcet's (1785) Jury Theorem to show that changes in our information networks have affected voter inter‐dependence so that it is likely that voters are now collectively more ignorant even if individual voter (...)
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  • The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach.Adam J. L. Harris, Ulrike Hahn, Jens K. Madsen & Anne S. Hsu - 2016 - Cognitive Science 40 (6):1496-1533.
    The appeal to expert opinion is an argument form that uses the verdict of an expert to support a position or hypothesis. A previous scheme-based treatment of the argument form is formalized within a Bayesian network that is able to capture the critical aspects of the argument form, including the central considerations of the expert's expertise and trustworthiness. We propose this as an appropriate normative framework for the argument form, enabling the development and testing of quantitative predictions as to how (...)
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  • Conservatism in a simple probability inference task.Lawrence D. Phillips & Ward Edwards - 1966 - Journal of Experimental Psychology 72 (3):346.
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  • A normative framework for argument quality: argumentation schemes with a Bayesian foundation.Ulrike Hahn & Jos Hornikx - 2016 - Synthese 193 (6):1833-1873.
    In this paper, it is argued that the most fruitful approach to developing normative models of argument quality is one that combines the argumentation scheme approach with Bayesian argumentation. Three sample argumentation schemes from the literature are discussed: the argument from sign, the argument from expert opinion, and the appeal to popular opinion. Limitations of the scheme-based treatment of these argument forms are identified and it is shown how a Bayesian perspective may help to overcome these. At the same time, (...)
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  • Public Reception of Climate Science: Coherence, Reliability, and Independence.Ulrike Hahn, Adam J. L. Harris & Adam Corner - 2016 - Topics in Cognitive Science 8 (1):180-195.
    Possible measures to mitigate climate change require global collective actions whose impacts will be felt by many, if not all. Implementing such actions requires successful communication of the reasons for them, and hence the underlying climate science, to a degree that far exceeds typical scientific issues which do not require large-scale societal response. Empirical studies have identified factors, such as the perceived level of consensus in scientific opinion and the perceived reliability of scientists, that can limit people's trust in science (...)
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