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  1. The Death of Argument: Fallacies in Agent Based Reasoning.John Hayden Woods - 2004 - Dordrecht and London: Springer.
    The present work is a fair record of work I've done on the fallacies and related matters in the fifteen years since 1986. The book may be seen as a sequel to Fallacies: Selected papers 1972-1982, which I wrote with Douglas Walton, and which appeared in 1989 with Foris. This time I am on my own. Douglas Walton has, long since, found his own voice, as the saying has it; and so have I. Both of us greatly value the time (...)
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  • Scare Tactics: Arguments That Appeal to Fear and Threats.Douglas Walton - 2000 - Dordrecht, Netherland: Springer.
    Scare Tactics, the first book on the subject, provides a theory of the structure of reasoning used in fear and threat appeal argumentation. Such arguments come under the heading of the argumentum ad baculum, the `argument to the stick/club', traditionally treated as a fallacy in the logic textbooks. The new dialectical theory is based on case studies of many interesting examples of the use of these arguments in advertising, public relations, politics, international negotiations, and everyday argumentation on all kinds of (...)
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  • Why Fallacies Appear to be Better Arguments Than They Are.Douglas Walton - 2010 - Informal Logic 30 (2):159-184.
    This paper offers a solution to the problem of understanding how a fallacious argument can be deceptive by “seeming to be valid”, or (better) appearing to be a better argument of its kind than it really is. The explanation of how fallacies are deceptive is based on heuristics and paraschemes. Heuristics are fast and frugal shortcuts to a solution to a problem that sometimes jump to a conclusion that is not justified. In fallacious instances, according to the theory proposed, this (...)
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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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  • Reasoning Under Uncertainty: The Role of Two Informal Fallacies in an Emerging Scientific Inquiry.Louise Cummings - 2002 - Informal Logic 22 (2).
    lt is now commonplace in fallacy inquiry for many of the traditional informal fallacies to be viewed as reasonable or nonfallacious modes of argument. Central to this evaluative shift has been the attempt to examine traditional fallacies within their wider contexts of use. However, this pragmatic turn in fallacy evaluation is still in its infancy. The true potential of a contextual approach in the evaluation of the fallacies is yet to be explored. I examine how, in the context of scientific (...)
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  • Giving Science a Bad Name: Politically and Commercially Motivated Fallacies in BSE Inquiry.Louise Cummings - 2005 - Argumentation 19 (2):123-143.
    It is a feature of scientific inquiry that it proceeds alongside a multitude of non-scientific interests. This statement is as true of the scientific inquiries of previous centuries, many of which brought scientists into conflict with institutionalised religious thinking, as it is true of the scientific inquiries of today, which are conducted increasingly within commercial and political contexts. However, while the fact of the coexistence of scientific and non-scientific interests has changed little over time, what has changed with time is (...)
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  • Emerging Infectious Diseases: Coping with Uncertainty. [REVIEW]Louise Cummings - 2009 - Argumentation 23 (2):171-188.
    The world’s scientific community must be in a state of constant readiness to address the threat posed by newly emerging infectious diseases. Whether the disease in question is SARS in humans or BSE in animals, scientists must be able to put into action various disease containment measures when everything from the causative pathogen to route(s) of transmission is essentially uncertain. A robust epistemic framework, which will inform decision-making, is required under such conditions of uncertainty. I will argue that this framework (...)
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  • Analogical Reasoning as a Tool of Epidemiological Investigation.Louise Cummings - 2004 - Argumentation 18 (4):427-444.
    Few, if any, scientific inquiries are conducted against a background of complete knowledge, a background in which inquirers are in possession of the ‘full facts’ that relate to a particular question or issue. More often than not, scientists are compelled to conduct their deliberations in contexts of epistemic uncertainty, in which partial knowledge or even a total absence of knowledge characterise inquiry. Nowhere is this epistemic uncertainty more evident, or indeed more successfully controlled, than in the branch of scientific inquiry (...)
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  • Analogical reasoning as a tool of epidemiological investigation.Louise Cummings - 2004 - Argumentation 18 (4):427-444.
    Few, if any, scientific inquiries are conducted against a background of complete knowledge, a background in which inquirers are in possession of the ‘full facts’ that relate to a particular question or issue. More often than not, scientists are compelled to conduct their deliberations in contexts of epistemic uncertainty, in which partial knowledge or even a total absence of knowledge characterise inquiry. Nowhere is this epistemic uncertainty more evident, or indeed more successfully controlled, than in the branch of scientific inquiry (...)
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  • Are Circular Arguments Necessarily Vicious?Douglas N. Walton - 1985 - American Philosophical Quarterly 22 (4):263-274.
  • .D. M. Berry & A. Fagerjord - 2017
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  • Nonfallacious Arguments from Ignorance.Douglas Walton - 1992 - American Philosophical Quarterly 29 (4):381 - 387.
  • Judgement under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky - 1985 - British Journal for the Philosophy of Science 36 (3):331-340.
     
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