1,865 research outputs found

    A Labelling Framework for Probabilistic Argumentation

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    The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities. Due to a variety of interests, probabilistic argumentation is approached in the literature with different frameworks, pertaining to structured and abstract argumentation, and with respect to diverse types of uncertainty, in particular the uncertainty on the credibility of the premises, the uncertainty about which arguments to consider, and the uncertainty on the acceptance status of arguments or statements. Towards a general framework for probabilistic argumentation, we investigate a labelling-oriented framework encompassing a basic setting for rule-based argumentation and its (semi-) abstract account, along with diverse types of uncertainty. Our framework provides a systematic treatment of various kinds of uncertainty and of their relationships and allows us to back or question assertions from the literature

    An Argumentation Interface for Expert Opinion Evidence

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    Tribunals have come to depend increasingly on expertise for determining the facts in cases. However, current legal methods have proved problematic to work with. This paper argues that, as a special model of public understanding of science, assessing expertise should consider source credibility of expertise from internal aspects, including scientific validity and reliability, and external aspects involving the credibility of experts. Using the Carneades Argumentation System we show that the internal and the external aspects are mediated by the structure of the argument from expert opinion with its matching set of critical questions

    Arguing about causes in law: a semi-formal framework for causal arguments

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    In legal argumentation and liability attribution, disputes over causes play a central role. Legal discussions about causation often have difficulty with cause-in-fact in complex situations, e.g. overdetermination, preemption, omission. We first assess three theories of causation. Then we introduce a semi-formal framework to model causal arguments using both strict and defeasible rules. We apply the framework to the Althen vaccine injury case. Wrapping up the paper, we motivate a causal argumentation framework and propose to integrate current theories of causation

    The role of intuition in philosophical practice

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    This dissertation examines the recent arguments against the “Centrality” thesis—the thesis that intuition plays central evidential roles in philosophical inquiry—and their implications for the negative program in experimental philosophy. Two types of objections to Centrality are discussed. First, there are some objections which turn out to only work against Centrality when it is taken as a potential form of philosophical exceptionalism. I respond by showing that negative experimental philosophy doesn’t need the assumption that philosophy is distinctive in its reliance on intuitions. Second, there are some objections which turn out to be related to some particular view concerning the nature of evidence. In response, I distinguish between several different versions of Centrality, and argue that the version of Centrality that experimentalists need remains innocuous. Though none of the arguments against Centrality works as intended, I agree with its opponents that negative experimental philosophers have mischaracterized philosophical practice in a way which has problematic consequences for at least some versions of their argument. Specifically, I contend that philosophical practice grants important evidential status to general intuitions and context-rich intuitions, but extant experimental studies have almost exclusively focused on case intuitions and context-poor intuitions. I conclude that those who work on the negative program of experimental philosophy need to more carefully examine how philosophers actually use intuition in their practice
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