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  1. A Pragmatic Theory of Fallacy.Douglas Walton - 2003 - University Alabama Press.
    Although fallacies have been common since Aristotle, until recently little attention has been devoted to identifying and defining them. Furthermore, the concept of fallacy itself has lacked a sufficiently clear meaning to make it a useful tool for evaluating arguments. Douglas Walton takes a new analytical look at the concept of fallacy and presents an up-to-date analysis of its usefulness for argumentation studies. Walton uses case studies illustrating familiar arguments and tricky deceptions in everyday conversation where the charge of fallaciousness (...)
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  • In Defense of the Objective Epistemic Approach to Argumentation.John Biro & Harvey Siegel - 2006 - Informal Logic 26 (1):91-101.
    In this paper we defend a particular version of the epistemic approach to argumentation. We advance some general considerations in favor of the approach and then examine the ways in which different versions of it play out with respect to the theory of fallacies, which we see as central to an understanding of argumentation. Epistemic theories divide into objective and subjective versions. We argue in favor of the objective version, showing that it provides a better account than its subjectivist rival (...)
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  • An Epistemological Approach to Argumentation.Alvin I. Goldman - 2003 - Informal Logic 23 (1):51-63.
    The evaluation of arguments and argumentation is best understood epistemologically. Epistemic circularity is not formally defective but it may be epistemologically objectionable. Sorenson's doubts about the syntactic approach to circularity are endorsed with qualifications. One explanation of an argument's goodness is its ability to produce justified belief in its conclusion by means of justified belief in its premises, but matters are not so simple for interpersonal argumentation. Even when an argument's premises and conclusion are justified for a speaker, this justifiedness (...)
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  • Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press. Edited by Stephan Hartmann.
    Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. (...)
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  • .Jeremy Butterfield & John Earman - 1977
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  • Hypothesis evaluation from a Bayesian perspective.Baruch Fischhoff & Ruth Beyth-Marom - 1983 - Psychological Review 90 (3):239-260.
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  • Rational explanation of the selection task.Mike Oaksford & Nick Chater - 1996 - Psychological Review 103 (2):381-391.
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  • Simultaneous over- and underconfidence: The role of error in judgment processes.Ido Erev, Thomas S. Wallsten & David V. Budescu - 1994 - Psychological Review 101 (3):519-527.
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  • A rational analysis of the selection task as optimal data selection.Mike Oaksford & Nick Chater - 1994 - Psychological Review 101 (4):608-631.
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  • Logic and human reasoning: An assessment of the deduction paradigm.Jonathan Evans - 2002 - Psychological Bulletin 128 (6):978-996.
    The study of deductive reasoning has been a major paradigm in psychology for approximately the past 40 years. Research has shown that people make many logical errors on such tasks and are strongly influenced by problem content and context. It is argued that this paradigm was developed in a context of logicist thinking that is now outmoded. Few reasoning researchers still believe that logic is an appropriate normative system for most human reasoning, let alone a model for describing the process (...)
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  • Fallacies and Argument Appraisal.Christopher W. Tindale - 2007 - New York: Cambridge University Press.
    Fallacies and Argument Appraisal presents an introduction to the nature, identification, and causes of fallacious reasoning, along with key questions for evaluation. Drawing from the latest work on fallacies as well as some of the standard ideas that have remained relevant since Aristotle, Christopher Tindale investigates central cases of major fallacies in order to understand what has gone wrong and how this has occurred. Dispensing with the approach that simply assigns labels and brief descriptions of fallacies, Tindale provides fuller treatments (...)
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  • (1 other version)Bayesian Informal Logic and Fallacy.Kevin Korb - 2004 - Informal Logic 24 (1):41-70.
    Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments. I analyse a variety of traditional fallacies, deductive, inductive and causal, and find more merit in them than is generally acknowledged. Bayesian principles provide a framework for understanding ordinary arguments which is well worth developing.
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  • Epistemic Normativity, Argumentation, and Fallacies.Harvey Siegel & John Biro - 1997 - Argumentation 11 (3):277-292.
    In Biro and Siegel we argued that a theory of argumentation mustfully engage the normativity of judgments about arguments, and we developedsuch a theory. In this paper we further develop and defend our theory.
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  • (1 other version)Conditional probability and the cognitive science of conditional reasoning.Mike Oaksford & Nick Chater - 2003 - Mind and Language 18 (4):359–379.
    This paper addresses the apparent mismatch between the normative and descriptive literatures in the cognitive science of conditional reasoning. Descriptive psychological theories still regard material implication as the normative theory of the conditional. However, over the last 20 years in the philosophy of language and logic the idea that material implication can account for everyday indicative conditionals has been subject to severe criticism. The majority view is now apparently in favour of a subjective conditional probability interpretation. A comparative model fitting (...)
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  • Reasoning and conversation.Lance J. Rips - 1998 - Psychological Review 105 (3):411-441.
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  • A Bayesian Approach to Informal Argument Fallacies.Ulrike Hahn & Mike Oaksford - 2006 - Synthese 152 (2):207-236.
    We examine in detail three classic reasoning fallacies, that is, supposedly ``incorrect'' forms of argument. These are the so-called argumentam ad ignorantiam, the circular argument or petitio principii, and the slippery slope argument. In each case, the argument type is shown to match structurally arguments which are widely accepted. This suggests that it is not the form of the arguments as such that is problematic but rather something about the content of those examples with which they are typically justified. This (...)
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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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  • Sensitivity of subjective probability revision.Cameron R. Peterson & Alan J. Miller - 1965 - Journal of Experimental Psychology 70 (1):117.
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  • Argumentation and social epistemology.Alvin I. Goldman - 1994 - Journal of Philosophy 91 (1):27-49.
    What is a good argument? That depends on what is meant by 'argument'. In formal logic, an argument is a set of sentences or propositions, one designated as conclusion and the remainder as premises. On this conception of argument, there are two kinds of goodness. An argument is good in a weak sense if the conclusion either follows deductively from the premises or receives strong evidential support from them. An argument is good in a strong sense if, in addition to (...)
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  • (1 other version)Fallacies.C. L. Hamblin - 1970 - Revue Philosophique de la France Et de l'Etranger 160:492-492.
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  • Circular reasoning.Lance J. Rips - 2002 - Cognitive Science 26 (6):767-795.
    Good informal arguments offer justification for their conclusions. They go wrong if the justifications double back, rendering the arguments circular. Circularity, however, is not necessarily a single property of an argument, but may depend on (a) whether the argument repeats an earlier claim, (b) whether the repetition occurs within the same line of justification, and (c) whether the claim is properly grounded in agreed‐upon information. The experiments reported here examine whether people take these factors into account in their judgments of (...)
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  • How to Distinguish Good and Bad Arguments: Dialogico-Rhetorical Normativity.Wouter H. Slob - 2002 - Argumentation 16 (2):179-196.
    Deductivism is not merely a logical technique, but also a theory of normativity: it provides an objective and universal standard of evaluation. Contemporary dialectical logic rejects deductive normativity, replacing its universal standard by an intersubjective standard. It is argued in this paper that dialectical normativity does not improve upon deductive normativity. A dialogico-rhetorical alternative is proposed.
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  • The rationality of informal argumentation: A Bayesian approach to reasoning fallacies.Ulrike Hahn & Mike Oaksford - 2007 - Psychological Review 114 (3):704-732.
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  • Witness testimony evidence: argumentation, artificial intelligence, and law.Douglas N. Walton - 2008 - New York: Cambridge University Press.
    Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such (...)
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  • Manifest Rationality: A Pragmatic Theory of Argument.Ralph H. Johnson - 2000 - Lawrence Earlbaum Associates.
    He further argues that it is necessary to rethink traditional conceptions of argument, and to find a position that avoids the limitations of both the highly abstract approach of formal logic and the highly contextualized approaches of rhetoric and communication theory.".
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  • Subordinating Truth – Is Acceptability Acceptable?George Boger - 2005 - Argumentation 19 (2):187-238.
    Argumentation logicians have recognized a specter of relativism to haunt their philosophy of argument. However, their attempts to dispel pernicious relativism by invoking notions of a universal audience or a community of model interlocutors have not been entirely successful. In fact, their various discussions of a universal audience invoke the context-eschewing formalism of Kant’s categorical imperative. Moreover, they embrace the Kantian method for resolving the antinomies that continually vacillates between opposing extremes – here between a transcendent universal audience and a (...)
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  • Averaging rules and adjustment processes in Bayesian inference.Lola L. Lopes - 1985 - Bulletin of the Psychonomic Society 23 (6):509-512.
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  • (1 other version)Why Logic Doesn 't Matter in the (Philosophical) Study of Argumentation'.Tim Heysse - 1997 - Argumentation 11 (2):211-224.
    Philosophically, the study of argumentation is important because it holds out the prospect of an interpretation of rationality. For this we need to identify a transcendent perspective on the argumentative interaction. We need a normative theory of argumentation that provides an answer to the question: should the hearer accept the argument of the speaker. In this article I argue that formal logic implies a notion of transcendence that is not suitable for the study of argumentation, because, from a logical point (...)
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  • Sample size and the revision of subjective probabilities.Cameron R. Peterson, Robert J. Schneider & Alan J. Miller - 1965 - Journal of Experimental Psychology 69 (5):522.
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  • (1 other version)Bayesian Informal Logic and Fallacy.Kevin Korb - 2003 - Informal Logic 23 (1).
    Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments. I analyse a variety of traditional fallacies, deductive, inductive and causal, and find more merit in them than is generally acknowledged. Bayesian principles provide a framework for understanding ordinary arguments which is well worth developing.
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  • Naive empiricism and dogmatism in confidence research: A critical examination of the hard–easy effect.Peter Juslin, Anders Winman & Henrik Olsson - 2000 - Psychological Review 107 (2):384-396.
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  • Potential Conflicts between Normatively-Responsible Advocacy and Successful Social Influence: Evidence from Persuasion Effects Research. [REVIEW]Daniel J. O’Keefe - 2007 - Argumentation 21 (2):151-163.
    This article approaches the relationship of normative argumentation studies and descriptive persuasion effects research by pointing to several empirical findings that raise questions or puzzles about normatively-proper argumentative conduct. These findings indicate some complications in the analysis of normatively desirable argumentative conduct – including some ways in which practical persuasive success may not be entirely compatible with normatively-desirable advocacy practices.
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