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  1. Is irrationality systematic?Robyn M. Dawes - 1983 - Behavioral and Brain Sciences 6 (3):491.
  • Two types of thought: Evidence from aphasia.Jules Davidoff - 2005 - Behavioral and Brain Sciences 28 (1):20-21.
    Evidence from aphasia is considered that leads to a distinction between abstract and concrete thought processes and hence for a distinction between rules and similarity. It is argued that perceptual classification is inherently a rule-following procedure and these rules are unable to be followed when a patient has difficulty with name comprehension and retrieval.
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  • Logical reasoning and domain specificity: A critique of the social exchange theory of reasoning.Paul Sheldon Davies, James H. Fetzer & Thomas R. Foster - 1995 - Biology and Philosophy 10 (1):1-37.
    The social exchange theory of reasoning, which is championed by Leda Cosmides and John Tooby, falls under the general rubric “evolutionary psychology” and asserts that human reasoning is governed by content-dependent, domain-specific, evolutionarily-derived algorithms. According to Cosmides and Tooby, the presumptive existence of what they call “cheater-detection” algorithms disconfirms the claim that we reason via general-purpose mechanisms or via inductively acquired principles. We contend that the Cosmides/Tooby arguments in favor of domain-specific algorithms or evolutionarily-derived mechanisms fail and that the notion (...)
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  • Deduction by children and animals: Does it follow the Johnson-Laird & Byrne model?Hank Davis - 1993 - Behavioral and Brain Sciences 16 (2):344-344.
  • The plasticity of human rationality.Norman Daniels & George E. Smith - 1983 - Behavioral and Brain Sciences 6 (3):490.
  • Evidence for the innateness of deontic reasoning.Denise Dellarosa Cummins - 1996 - Mind and Language 11 (2):160-90.
    When reasoning about deontic rules (what one may, should, or should not do in a given set of circumstances), reasoners adopt a violation‐detection strategy, a strategy they do not adopt when reasoning about indicative rules (descriptions of purported state of affairs). I argue that this indicative‐deontic distinction constitutes a primitive in the cognitive architecture. To support this claim, I show that this distinction emerges early in development, is observed regardless of the cultural background of the reasoner, and can be selectively (...)
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  • Conditional reasoning and causation.Denise D. Cummins, Todd Lubart, Olaf Alksnis & Robert Rist - 1991 - Memory and Cognition 19 (3):274-282.
    An experiment was conducted to investigate the relative contributions of syntactic form and content to conditional reasoning. The content domain chosen was that of causation. Conditional statements that described causal relationships were embedded in simple arguments whose entailments are governed by the rules -of truth-functional logic. The causal statements differed in terms of the number of alternative causes and disabling conditions that characterized the causal relationship. Subjects were required to judge whether or not each argument’s conclusion could be accepted. Judgments (...)
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  • Tractability considerations in deduction.James M. Crawford - 1993 - Behavioral and Brain Sciences 16 (2):343-343.
  • ‘if p then q’... and all that: Logical Elements in Reasoning and Discourse. [REVIEW]Marian Counihan - 2008 - Journal of Logic, Language and Information 17 (4):391-415.
    In this paper we explore differences in use of the so-called ‘logical’ elements of language such as quantifiers and conditionals, and use this to explain differences in performance in reasoning tasks across subject groups with different educational backgrounds. It is argued that quantified sentences are difficult natural bases for reasoning, and hence more prone to elicit variation in reasoning behaviour, because they are chiefly used with a pre-determined domain in everyday speech. By contrast, it is argued that conditional sentences form (...)
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  • The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task.Leda Cosmides - 1989 - Cognition 31 (3):187-276.
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  • The controversy about irrationality.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (3):510.
  • Status of the rationality assumption in psychology.Marvin S. Cohen - 1981 - Behavioral and Brain Sciences 4 (3):332-333.
  • Some difficulties about deduction.L. Jonathan Cohen - 1993 - Behavioral and Brain Sciences 16 (2):341-342.
  • 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.
  • Are there any a priori constraints on the study of rationality?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):359-370.
  • The epistemological status of lay intuition.Christopher Cherniak - 1983 - Behavioral and Brain Sciences 6 (3):489.
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  • Mental models and nonmonotonic reasoning.Nick Chater - 1993 - Behavioral and Brain Sciences 16 (2):340-341.
  • Can valid inferences be suppressed?Ruth M. J. Byrne - 1991 - Cognition 39 (1):71-78.
  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
  • The interpretation of universal affirmative propositions.Wilma Bucci - 1978 - Cognition 6 (1):55-77.
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  • Discrepancies between human behavior and formal theories of rationality: The incompleteness of Bayesian probability logic.Lea Brilmayer - 1983 - Behavioral and Brain Sciences 6 (3):488.
  • Mental models cannot exclude mental logic and make little sense without it.Martin D. S. Braine - 1993 - Behavioral and Brain Sciences 16 (2):338-339.
  • Rational animal?Simon Blackburn - 1981 - Behavioral and Brain Sciences 4 (3):331-332.
  • Causal inferences about others’ behavior among the Wampar, Papua New Guinea – and why they are hard to elicit.Bettina Beer & Andrea Bender - 2015 - Frontiers in Psychology 6.
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  • To err is human.Maya Bar-Hillel & Avishai Margalit - 1983 - Behavioral and Brain Sciences 6 (2):246-248.
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  • Toward a developmental theory of mental models.Bruno G. Bara - 1993 - Behavioral and Brain Sciences 16 (2):336-336.
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  • Everyday reasoning and logical inference.Jon Barwise - 1993 - Behavioral and Brain Sciences 16 (2):337-338.
  • Deduction as an example of thinking.Jonathan Baron - 1993 - Behavioral and Brain Sciences 16 (2):336-337.
  • Getting down to cases.Kent Bach - 1993 - Behavioral and Brain Sciences 16 (2):334-336.
  • Los condicionales de utilidad y la teoría de los modelos mentales.Miguel López Astorga - 2017 - Otrosiglo 1 (1):90-108.
    Recientemente, se ha propuesto que la lógica no es el único factor que incide en el razonamiento condicional y que el valor y la utilidad son otros dos elementos importantes en este sentido. Al respecto, Bonnefon y Sloman añadieron en 2013 que la estructura de los condicionales es, del mismo modo, relevante en la actividad inferencial con condicionales de utilidad y trataron de demostrarlo por medio de varios experimentos. Sus resultados parecieron mostrar que, efectivamente, sus tesis eran correctas. No obstante, (...)
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  • Mental models and tableau logic.Avery D. Andrews - 1993 - Behavioral and Brain Sciences 16 (2):334-334.
  • The rationality of the scientist: Toward reconciliation.Jonathan E. Adler - 1983 - Behavioral and Brain Sciences 6 (3):487.
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  • Human rationality: Essential conflicts, multiple ideals.Jonathan E. Adler - 1983 - Behavioral and Brain Sciences 6 (2):245-246.
  • Fallacies and alternative interpretations.Jonathan E. Adler - 1994 - Australasian Journal of Philosophy 72 (3):271 – 282.
  • Unphilosophical probability.Sandy L. Zabell - 1981 - Behavioral and Brain Sciences 4 (3):358-359.
  • Illusions in quantified reasoning: How to make the impossible seem possible, and vice versa.Yingrui Yang & Philip Johnson-Laird - 2000 - Memory and Cognition 28 (3):452-465.
    The mental model theory postulates that reasoners build models of the situations described in premises, and that these models normally represent only what is true. The theory has an unexpected consequence. It predicts the existence ofillusions in inferences. Certain inferences should have compelling but erroneous conclusions. Two experiments corroborated the occurrence of such illusions in inferences about what is possible from disjunctions of quantified assertions, such as, “at least some of the plastic beads are not red.” Experiment 1 showed that (...)
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  • More models just means more difficulty.N. E. Wetherick - 1993 - Behavioral and Brain Sciences 16 (2):367-368.
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  • Cohen on contraposition.N. E. Wetherick - 1981 - Behavioral and Brain Sciences 4 (3):358-358.
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  • Competence, performance, and ignorance.Robert W. Weisberg - 1981 - Behavioral and Brain Sciences 4 (3):356-358.
  • The importance of cognitive illusions.Peter Wason - 1981 - Behavioral and Brain Sciences 4 (3):356-356.
  • Methods of Representation as Inferential Devices.Matías Osta Vélez - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (2):231-245.
    In this article I am going to reconstruct Stephen Toulmin’s procedural theory of concepts and explanations in order to develop two overlooked ideas from his philosophy of science: methods of representations and inferential techniques. I argue that these notions, when properly articulated, could be useful for shedding some light on how scientific reasoning is related to representational structures, concepts, and explanation within scientific practices. I will explore and illustrate these ideas by studying the development of the notion of instantaneous speed (...)
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  • Independent forebrain and brainstem controls for arousal and sleep.Jaime R. Villablanca - 1981 - Behavioral and Brain Sciences 4 (3):494-496.
  • Symposium on “Cognition and Rationality: Part I” Relevance effects in reasoning.Jean-Baptiste Van der Henst - 2006 - Mind and Society 5 (2):229-245.
    Reasoning research has focussed mainly on the type of cognitive processes involved when representing premises and when producing conclusions. But less is known about the factors that guide these representational and inferential processes. What premises are actually taken as input in reasoning? And what conclusions are intended? In this paper it is argued that considerations of relevance (Sperber and Wilson, Relevance: communication and cognition. Blackwell, Oxford, 1995) are helpful for addressing these issues as a pragmatic analysis of two sorts of (...)
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  • Psychology and the foundations of rational belief.Ryan D. Tweney, Michael E. Doherty & Clifford R. Mynatt - 1983 - Behavioral and Brain Sciences 6 (2):262-263.
  • Scientific thinking and mental models.Ryan D. Tweney - 1993 - Behavioral and Brain Sciences 16 (2):366-367.
  • L. J. Cohen, again: On the evaluation of inductive intuitions.Amos Tversky - 1981 - Behavioral and Brain Sciences 4 (3):354-356.
  • The task-specific nature of domain-general reasoning.Valerie A. Thompson - 2000 - Cognition 76 (3):209-268.
  • Normativism versus mechanism.Valerie A. Thompson - 2011 - Behavioral and Brain Sciences 34 (5):272-273.
    Using normative correctness as a diagnostic tool reduces the outcome of complex cognitive functions to a binary classification (normative or non-normative). It also focuses attention on outcomes, rather than processes, impeding the development of good cognitive theories. Given that both normative and non-normative responses may be produced by the same process, normativity is a poor indicator of underlying processes.
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  • From the descriptive to the normative in psychology and logic.Paul Thagard - 1982 - Philosophy of Science 49 (1):24-42.
    The aim of this paper is to describe a methodology for revising logical principles in the light of empirical psychological findings. Historical philosophy of science and wide reflective equilibrium in ethics are considered as providing possible models for arguing from the descriptive to the normative. Neither is adequate for the psychology/logic case, and a new model is constructed, employing criteria for evaluating inferential systems. Once we have such criteria, the notion of reflective equilibrium becomes redundant.
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