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  1. Weak Bayesian coherentism.Michael Huemer - 2007 - Synthese 157 (3):337-346.
    Recent results in probability theory have cast doubt on coherentism, purportedly showing (a) that coherence among a set of beliefs cannot raise their probability unless individual beliefs have some independent credibility, and (b) that no possible measure of coherence makes coherence generally probability-enhancing. I argue that coherentists can reject assumptions on which these theorems depend, and I derive a general condition under which the concurrence of two information sources lacking individual credibility can raise the probability of what they report.
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  • Another vote for rationality.Mary Henle - 1981 - Behavioral and Brain Sciences 4 (3):339-339.
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  • A hybrid formal theory of arguments, stories and criminal evidence.Floris J. Bex, Peter J. van Koppen, Henry Prakken & Bart Verheij - 2010 - Artificial Intelligence and Law 18 (2):123-152.
    This paper presents a theory of reasoning with evidence in order to determine the facts in a criminal case. The focus is on the process of proof, in which the facts of the case are determined, rather than on related legal issues, such as the admissibility of evidence. In the literature, two approaches to reasoning with evidence can be distinguished, one argument-based and one story-based. In an argument-based approach to reasoning with evidence, the reasons for and against the occurrence of (...)
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  • Overcoming Luck: Two Trends in Legal Philosophy.Jeffrey S. Helmreich - 2018 - Analysis 78 (2):335-347.
    © The Author 2018. Published by Oxford University Press on behalf of The Analysis Trust. All rights reserved. For Permissions, please email: [email protected] article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model...Philosophy of law was until recently dominated by abstract investigation into the nature of law, a pursuit known as ‘general jurisprudence’. In this way, it resembled a branch of metaphysics or mid-twentieth century philosophy of mind, seeking to uncover the essential properties (...)
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  • Legal Probabilism: A Qualified Defence.Brian Hedden & Mark Colyvan - 2019 - Journal of Political Philosophy 27 (4):448-468.
    Journal of Political Philosophy, EarlyView.
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  • Logic and probability theory versus canons of rationality.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (2):251-251.
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  • Kyburg on practical certainty.Willam L. Harper - 1983 - Behavioral and Brain Sciences 6 (2):251-252.
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  • Physicians neglect base rates, and it matters.Robert M. Hamm - 1996 - Behavioral and Brain Sciences 19 (1):25-26.
    A recent study showed physicians' reasoning about a realistic case to be ignorant of base rate. It also showed physicians interpreting information pertinent to base rate differently, depending on whether it was presented early or late in the case. Although these adult reasoners might do better if given hints through talk of relative frequencies, this would not prove that they had no problem of base rate neglect.
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  • Human reasoning: Can we judge before we understand?Richard A. Griggs - 1981 - Behavioral and Brain Sciences 4 (3):338-339.
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  • Intuition and inconsistency.Richard E. Grandy - 1983 - Behavioral and Brain Sciences 6 (3):494.
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  • Wigmore's Chart Method.Jean Goodwin & Alec Fisher - 2000 - Informal Logic 20 (3).
    A generation before Beardsley, legal scholar John Henry Wigmore invented a scheme for representing arguments in a tree diagram, aimed to help advocates analyze the proof of facts at trial. In this essay, I describe Wigmore's "Chart Method" and trace its origin and influence. Wigmore, I argue, contributes to contemporary theory in two ways. His rhetorical approach to diagramming provides a novel perspective on problems about the theory of reasoning, premise adequacy, and dialectical obligations. Further, he advances a novel solution (...)
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  • Modeling Corroborative Evidence: Inference to the Best Explanation as Counter–Rebuttal.David Godden - 2014 - Argumentation 28 (2):187-220.
    Corroborative evidence has a dual function in argument. Primarily, it functions to provide direct evidence supporting the main conclusion. But it also has a secondary, bolstering function which increases the probative value of some other piece of evidence in the argument. This paper argues that the bolstering effect of corroborative evidence is legitimate, and can be explained as counter–rebuttal achieved through inference to the best explanation. A model (argument diagram) of corroborative evidence, representing its structure and operation as a schematic (...)
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  • Corroboration: Sensitivity, Safety, and Explanation.David Godden - 2019 - Acta Analytica 34 (1):15-38.
    Corroborative evidence may be understood as having two epistemic effects: a primary effect by which it offers direct evidence for some claim, and a secondary effect by which it bolsters the appraised probative, or evidential, value of some other piece of evidence for that claim. This paper argues that the bolstering effect of corroborative evidence is epistemically legitimate because corroboration provides a reason to count the belief based on the initial evidence as sensitive to, and safe from, defeat in a (...)
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  • Can children's irrationality be experimentally demonstrated?Sam Glucksberg - 1981 - Behavioral and Brain Sciences 4 (3):337-338.
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  • Judgment under uncertainty: Evolution may not favor a probabilistic calculus.Lev R. Ginzburg, Charles Janson & Scott Ferson - 1996 - Behavioral and Brain Sciences 19 (1):24-25.
    The environment in which humans evolved is strongly and positively autocorrelated in space and time. Probabilistic judgments based on the assumption of independence may not yield evolutionarily adaptive behavior. A number of “faults” of human reasoning are not faulty under fuzzy arithmetic, a nonprobabilistic calculus of reasoning under uncertainty that may be closer to that underlying human decision making.
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  • Why do frequency formats improve Bayesian reasoning? Cognitive algorithms work on information, which needs representation.Gerd Gigerenzer - 1996 - Behavioral and Brain Sciences 19 (1):23-24.
    In contrast to traditional research on base-rate neglect, an ecologically-oriented research program would analyze the correspondence between cognitive algorithms and the nature of information in the environment. Bayesian computations turn out to be simpler when information is represented in frequency formats as opposed to the probability formats used in previous research. Frequency formats often enable even uninstructed subjects to perform Bayesian reasoning.
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  • What does explanatory coherence explain?Ronald N. Giere - 1989 - Behavioral and Brain Sciences 12 (3):475-476.
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  • Expert intuitions and the interpretation of social psychological experiments.André Gallois & Michael Siegal - 1983 - Behavioral and Brain Sciences 6 (3):492.
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  • Coherence: Beyond constraint satisfaction.Gareth Gabrys & Alan Lesgold - 1989 - Behavioral and Brain Sciences 12 (3):475-475.
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  • Base rates, stereotypes, and judgmental accuracy.David C. Funder - 1996 - Behavioral and Brain Sciences 19 (1):22-23.
    The base rate literature has an opposite twin in the social psychological literature on stereotypes, which concludes that people use their preexisting beliefs about probabilistic category attributes too much, rather than not enough. This ironic discrepancy arises because beliefs about category attributes enhance accuracy when the beliefs are accurate and diminish accuracy when they are not. To determine the accuracy of base rate/stereotype beliefs requires research that addresses specific content.
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  • Weinstein, Mark: Logic, Truth and Inquiry: College Publications, London, 2013.J. B. Freeman - 2015 - Argumentation 29 (3):361-377.
    In this essay, Weinstein wants to address the issue of argument strength, of how strongly the premises of an argument support a conclusion. Using the framework of the Toulmin model, arguments have warrants which indicate some general connection between the premises and the conclusion of the argument. We may ask for the backing of the warrant, evidence for it. If the connection is an empirical generalization, the backing includes data supporting the generalization. But the backing may include theoretical generalizations, which (...)
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  • A philosophical basis for decision aiding.Anthony N. S. Freeling - 1984 - Theory and Decision 16 (2):179-206.
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  • Can any statements about human behavior be empirically validated?Baruch Fischoff - 1981 - Behavioral and Brain Sciences 4 (3):336-337.
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  • How to reconsider the base rate fallacy without forgetting the concept of systematic processing.Pablo Fernandez-Berrocal, Julian Almaraz & Susana Segura - 1996 - Behavioral and Brain Sciences 19 (1):21-22.
    Abstract(1) There is enough contradictory evidence regarding the role of base rates in category learning to confirm the nonexistence of biases in such learning. (2) It is not always possible to activate statistical reasoning through frequentist representation. (3) It is necessary to use the concept of systematic processing in reconsidering the published work on biases.
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  • What's in a link?Jerome A. Feldman - 1989 - Behavioral and Brain Sciences 12 (3):474-475.
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  • Psychological objectives for logical theories.J. St B. T. Evans - 1983 - Behavioral and Brain Sciences 6 (2):250-250.
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  • On defining rationality unreasonably.J. St B. T. Evans & P. Pollard - 1981 - Behavioral and Brain Sciences 4 (3):335-336.
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  • Rationality and the sanctity of competence.Hillel J. Einhorn & Robin M. Hogarth - 1981 - Behavioral and Brain Sciences 4 (3):334-335.
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  • Base rates, experience, and the big picture.Stephen E. Edgell, Robert M. Roe & Clayton H. Dodd - 1996 - Behavioral and Brain Sciences 19 (1):21-21.
    The important question is how people process probabilistic information, not whether they process it in accordance with a normative model that we never should have expected them to be capable of following. Experience is not the cure, as widely thought, to problems with utilizing base rate information.
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  • On the testability of ECHO.D. C. Earle - 1989 - Behavioral and Brain Sciences 12 (3):474-474.
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  • In philosophical defence of Bayesian rationality.Jon Dorling - 1983 - Behavioral and Brain Sciences 6 (2):249-250.
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  • Trial by Statistics: Is a High Probability of Guilt Enough to Convict?Marcello Di Bello - 2019 - Mind 128 (512):1045-1084.
    Suppose one hundred prisoners are in a yard under the supervision of a guard, and at some point, ninety-nine of them collectively kill the guard. If, after the fact, a prisoner is picked at random and tried, the probability of his guilt is 99%. But despite the high probability, the statistical chances, by themselves, seem insufficient to justify a conviction. The question is why. Two arguments are offered. The first, decision-theoretic argument shows that a conviction solely based on the statistics (...)
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  • Proof Paradoxes and Normic Support: Socializing or Relativizing?Marcello Di Bello - 2020 - Mind 129 (516):1269-1285.
    Smith argues that, unlike other forms of evidence, naked statistical evidence fails to satisfy normic support. This is his solution to the puzzles of statistical evidence in legal proof. This paper focuses on Smith’s claim that DNA evidence in cold-hit cases does not satisfy normic support. I argue that if this claim is correct, virtually no other form of evidence used at trial can satisfy normic support. This is troublesome. I discuss a few ways in which Smith can respond.
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  • The persistence of cognitive illusions.Persi Diaconis & David Freedman - 1981 - Behavioral and Brain Sciences 4 (3):333-334.
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  • The purpose of experiments: Ecological validity versus comparing hypotheses.Robyn M. Dawes - 1996 - Behavioral and Brain Sciences 19 (1):20-20.
    As illustrated by research Koehler himself cites (Dawes et al. 1993), the purpose of experiments is to choose between contrasting explanations of past observations – rather than to seek statistical generalizations about the prevalence of effects. True external validity results not from sampling various problems that are representative of “real world” decision making, but from reproducing an effect in the laboratory with minimal contamination (including from real world factors).
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  • Thagard's Principle 7 and Simpson's paradox.Robyn M. Dawes - 1989 - Behavioral and Brain Sciences 12 (3):472-473.
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  • Is irrationality systematic?Robyn M. Dawes - 1983 - Behavioral and Brain Sciences 6 (3):491.
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  • The plasticity of human rationality.Norman Daniels & George E. Smith - 1983 - Behavioral and Brain Sciences 6 (3):490.
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  • Are base rates a natural category of information?Terry Connolly - 1996 - Behavioral and Brain Sciences 19 (1):19-20.
    The base rate fallacy is directly dependent on a particular judgment paradigm in which information may be unambiguously designated as either “base rate” or “individuating,” and in which subjects make two-stage sequential judgments. The paradigm may be a poor match for real world settings, and the fallacy may thus be undefined for natural ecologies of judgment.
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  • Two problems for the explanatory coherence theory of acceptability.L. Jonathan Cohen - 1989 - Behavioral and Brain Sciences 12 (3):471-471.
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  • The need for a theory of evidential weight.L. Jonathan Cohen - 1996 - Behavioral and Brain Sciences 19 (1):18-19.
    There is a familiar risk of antinomy if fromxisEand p(xisH/xisE) =rit is permissible to infer p(xisH) =r, and what Carnap (1950) called “The requirement of total evidence” will not prevent such antinomies satisfactorily. What is needed instead is a properly developed theory of evidential weight.
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  • The controversy about irrationality.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (3):510.
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  • Status of the rationality assumption in psychology.Marvin S. Cohen - 1981 - Behavioral and Brain Sciences 4 (3):332-333.
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  • Rational reconstruction of inferential processes-a task straddling the Al-CS boundaries.L. Jonathan Cohen - 1978 - Behavioral and Brain Sciences 1 (1):101-102.
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  • Johnson‐Laird's theory of induction.L. Jonathan Cohen - 1994 - International Studies in the Philosophy of Science 8 (1):35 – 36.
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  • Can human irrationality be experimentally demonstrated?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):317-370.
    The object of this paper is to show why recent research in the psychology of deductive and probabilistic reasoning does not have.
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  • Belief, acceptance, and probability.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (2):248-249.
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  • Are there any a priori constraints on the study of rationality?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):359-370.
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  • Assimilating evidence: The key to revision?Michelene T. H. Chi - 1989 - Behavioral and Brain Sciences 12 (3):470-471.
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  • The epistemological status of lay intuition.Christopher Cherniak - 1983 - Behavioral and Brain Sciences 6 (3):489.
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