Deductive Reasoning Edited by Joshua Schechter (Brown University)

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  1. Bruno G. Bara & Monica Bucciarelli (2000). Deduction and Induction: Reasoning Through Mental Models. Mind and Society 1 (1):95-107.
    In this paper we deal with two types of reasoning: induction, and deduction First, we present a unified computational model of deductive reasoning through models, where deduction occurs in five phases: Construction, Integration, Conclusion, Falsification, and Response. Second, we make an attempt, to analyze induction through the same phases. Our aim is an explorative evaluation of the mental processes possibly shared by deductive and inductive reasoning.
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  2. Pierre Barrouillet & Henry Markovits (2002). Is the Self-Organizing Consciousness Framework Compatible with Human Deductive Reasoning? Behavioral and Brain Sciences 25 (3):330-331.
    As stressed by Perruchet & Vinter, the SOC model echoes Johnson-Laird's mental model theory. Indeed, the latter rejects rule-based processing and assumes that reasoning is achieved through the manipulation of conscious representations. However, the mental model theory as well as its modified versions resorts to the abstraction of complex schemas and some form of implicit logic that seems incompatible with the SOC approach.
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  3. Diderik Batens (2006). Narrowing Down Suspicion in Inconsistent Premise Sets. Poznan Studies in the Philosophy of the Sciences and the Humanities 91 (1):185-209.
    Inconsistency-adaptive logics isolate the inconsistencies that are derivable from a premise set, and restrict the rules of Classical Logic only where inconsistencies are involved. From many inconsistent premise sets, disjunctions of contradictions are derivable no disjunct of which is itself derivable. Given such a disjunction, it is often justified to introduce new premises that state, with a certain degree of confidence, that some of the disjuncts are false. This is an important first step on the road to consistency: it narrows (...)
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  4. S. V. Bhave (1997). Situations in Which Disjunctive Syllogism Can Lead From True Premises to a False Conclusion. Notre Dame Journal of Formal Logic 38 (3):398-405.
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  5. Paul Boghossian (2003). Blind Reasoning. Aristotelian Society Supplementary Volume 77 (1):225–248.
    The paper asks under what conditions deductive reasoning transmits justification from its premises to its conclusion. It argues that both standard externalist and standard internalist accounts of this phenomenon fail. The nature of this failure is taken to indicate the way forward: basic forms of deductive reasoning must justify by being instances of ‘blind but blameless’ reasoning. Finally, the paper explores the suggestion that an inferentialist account of the logical constants can help explain how such reasoning is possible.
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  6. Marcello D.’Agostino & Luciano Floridi (2009). The Enduring Scandal of Deduction. Synthese 167 (2).
    Deductive inference is usually regarded as being “tautological” or “analytical”: the information conveyed by the conclusion is contained in the information conveyed by the premises. This idea, however, clashes with the undecidability of first-order logic and with the (likely) intractability of Boolean logic. In this article, we address the problem both from the semantic and the proof-theoretical point of view. We propose a hierarchy of propositional logics that are all tractable (i.e. decidable in polynomial time), although by means of growing (...)
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  7. Mikkel Gerken (2011). Conceptual Equivocation and Warrant by Reasoning. Australasian Journal of Philosophy 89 (3):381-400.
    In this paper, I challenge a widely presupposed principle in the epistemology of inference. The principle, (Validity Requirement), is this: S’s (purportedly deductive) reasoning, R, from warranted premise-beliefs provides (conditional) warrant for S’s belief in its conclusion only if R is valid. I argue against (Validity Requirement) from two prominent assumptions in the philosophy of mind: that the cognitive competencies that constitute reasoning are fallible, and that the attitudes operative in reasoning are anti-individualistically individuated. Indeed, my discussion will amount to (...)
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  8. Mikkel Gerken (2009). Conceptual Equivocation and Epistemic Relevance. Dialectica 63 (2):117-132.
    Much debate has surrounded "switching" scenarios in which a subject's reasoning is said to exhibit the fallacy of equivocation ( Burge 1988 ; Boghossian 1992, 1994 ). Peter Ludlow has argued that such scenarios are "epistemically prevalent" and, therefore, epistemically relevant alternatives ( Ludlow 1995a ). Since a distinctive feature of the cases in question is that the subject blamelessly engages in conceptual equivocation, we may label them 'equivocational switching cases'. Ludlow's influential argument occurs in a discussion about compatibilism with (...)
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  9. Susan Haack (1976). The Justification of Deduction. Mind 85 (337):112-119.
    It is often taken for granted by writers who propose--and, for that matter, by writers who oppose--'justifications' of inductions, that deduction either does not need, or can readily be provided with, justification. The purpose of this paper is to argue that, contrary to this common opinion, problems analogous to those which, notoriously, arise in the attempt to justify induction, also arise in the attempt to justify deduction.
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  10. Graeme S. Halford & Glenda Andrews (2004). The Development of Deductive Reasoning: How Important is Complexity? Thinking and Reasoning 10 (2):123 – 145.
    Current conceptions of the nature of human reasoning make it no longer tenable to assess children's inference by reference to the norms of logical inference. Alternatively, the complexity of the mental models employed in children's inferences can be analysed. This approach is applied to transitive inference, class inclusion, categorical induction, theory of mind, oddity, categorical syllogisms, analogy, and reasoning deficits. It is argued that a coherent account of children's reasoning emerges in that there is correspondence between tasks at the same (...)
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  11. Mark Jago (forthcoming). The Content of Deduction. Journal of Philosophical Logic:-.
    For deductive reasoning to be justified, it must be guaranteed to preserve truth from premises to conclusion; and for it to be useful to us, it must be capable of informing us of something. How can we capture this notion of information content, whilst respecting the fact that the content of the premises, if true, already secures the truth of the conclusion? This is the problem I address here. I begin by considering and rejecting several accounts of informational content. I (...)
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  12. Maria Lasonen-Aarnio (2008). Single Premise Deduction and Risk. Philosophical Studies 141 (2):157 - 173.
    It is tempting to think that multi premise closure creates a special class of paradoxes having to do with the accumulation of risks, and that these paradoxes could be escaped by rejecting the principle, while still retaining single premise closure. I argue that single premise deduction is also susceptible to risks. I show that what I take to be the strongest argument for rejecting multi premise closure is also an argument for rejecting single premise closure. Because of the symmetry between (...)
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  13. Pam Marek, Richard A. Griggs & Cynthia S. Koenig (2000). Reducing Cognitive Complexity in a Hypothetico-Deductive Reasoning Task. Thinking and Reasoning 6 (3):253 – 265.
    The confusion/non-consequential thinking explanation proposed by Newstead, Girotto, and Legrenzi (1995) for poor performance on Wason's THOG problem (a hypothetico-deductive reasoning task) was examined in three experiments with 300 participants. In general, as the cognitive complexity of the problem and the possibility of non-consequential thinking were reduced, correct performance increased. Significant but weak facilitation (33-40% correct) was found in Experiment 1 for THOG classification instructions that did not include the indeterminate response option. Substantial facilitation (up to 75% correct) was obtained (...)
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  14. Christopher Menzel (1998). Logical Form. In Edward Craig (ed.), Routledge Encyclopedia of Philosophy. Routledge.
    Consider the following argument: All men are mortal; Socrates is a man; therefore, Socrates is mortal. Intuitively, what makes this a valid argument has nothing to do with Socrates, men, or mortality. Rather, each sentence in the argument exhibits a certain logical form, which, together with the forms of the other two, constitute a pattern that, of itself, guarantees the truth of the conclusion given the truth of the premises. More generally, then, the logical form of a sentence of natural (...)
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  15. Chris Mortensen (1983). The Validity of Disjunctive Syllogism is Not so Easily Proved. Notre Dame Journal of Formal Logic 24 (1):35-40.
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  16. Sylvain Moutier, Nathalie Angeard & Olivier Houde (2002). Deductive Reasoning and Matching-Bias Inhibition Training: Evidence From a Debiasing Paradigm. Thinking and Reasoning 8 (3):205 – 224.
    Using the matching bias example, the aim of the present studies was to show that adults' reasoning biases are due to faulty executive inhibition programming. In the first study, the subjects were trained on Wason's classical card selection task; half were given training in how to inhibit the perceptual matching bias (experimental group) and half in logic without the inhibition component (control group). On the pre- and post-tests, their performance was assessed on the Evans conditional rule falsification task (with a (...)
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  17. Mary R. Newsome & P. N. Johnson-Laird (2006). How Falsity Dispels Fallacies. Thinking and Reasoning 12 (2):214 – 234.
    From certain sorts of premise, individuals reliably infer invalid conclusions. Two Experiments investigated a possible cause for these illusory inference: Reasoners fail to think about what is false. In Experiment 1, 24 undergraduates drew illusory and control inferences from premises based on exclusive disjunctions (“or else”). In one block, participants were instructed to falsify the premises of each illusory and control inference before making the inference. In the other block, participants did not receive these instructions. There were more correct answers (...)
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  18. Stephen E. Newstead (1994). Inductive Reasoning, Deductive Reasoning and Mental Models. International Studies in the Philosophy of Science 8 (1):65 – 67.
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  19. Richard E. Nisbett (1993). Rules for Reasoning. L. Erlbaum Associates.
    This book examines two questions: Do people make use of abstract rules such as logical and statistical rules when making inferences in everyday life? Can such abstract rules be changed by training? Contrary to the spirit of reductionist theories from behaviorism to connectionism, there is ample evidence that people do make use of abstract rules of inference -- including rules of logic, statistics, causal deduction, and cost-benefit analysis. Such rules, moreover, are easily alterable by instruction as it occurs in classrooms (...)
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  20. Jeff Pelletier, Human Performance in Default Reasoning.
    There has long been a history of studies investigating how people (“ordinary people”) perform on tasks that involve deductive reasoning. The upshot of these studies is that people characteristically perform some deductive tasks well but others badly. For instance, studies show that people will typically perform MP (“modus ponens”: from ‘If A then B’ and ‘A’, infer ‘B’) and bi-conditional MP (from: ‘A if and only if B’ and ‘A’, infer ‘B’) correctly when invited to make the inference and additionally (...)
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  21. Niki Pfeifer & G. D. Kleiter (2011). Uncertain Deductive Reasoning. In K. Manktelow, D. E. Over & S. Elqayam (eds.), The Science of Reason: A Festschrift for Jonathan St B.T. Evans. Psychology Press.
    Probabilistic models have started to replace classical logic as the standard reference paradigm in human deductive reasoning. Mental probability logic emphasizes general principles where human reasoning deviates from classical logic, but agrees with a probabilistic approach (like nonmonotonicity or the conditional event interpretation of conditionals). -/- This contribution consists of two parts. In the first part we discuss general features of reasoning systems including consequence relations, how uncertainty may enter argument forms, probability intervals, and probabilistic informativeness. These concepts are of (...)
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  22. Andrzej Pietruszczak (2006). On Applications of Truth-Value Connectives for Testing Arguments with Natural Connectives. Poznan Studies in the Philosophy of the Sciences and the Humanities 91 (1):143-156.
    In introductory logic courses the authors often limit their considerations to the truth-value operators. Then they write that conditionals and biconditionals of natural language ("if" and "if and only if") may be represented as material implications and equivalences ("⊃" and "≡"), respectively. Yet material implications are not suitable for conditionals. Lewis' strict implications are much better for this purpose. Similarly, strict equivalences are better for representing biconditionals (than material equivalences). In this paper we prove that the methods from standard first (...)
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  23. Carlos Santamaria & P. N. Johnson-Laird (2000). An Antidote to Illusory Inferences. Thinking and Reasoning 6 (4):313 – 333.
    The mental model theory predicts that reasoners normally represent what is true, but not what is false. One consequence is that reasoners should make "illusory" inferences, which are compelling but invalid. Three experiments confirmed the existence of such illusions based on disjunctions of disjunctions. They also established a successful antidote to them: Reasoners are much less likely to succumb to illusions if the inferences concern disjunctions of physical objects (alternative newspaper advertisements) rather disjunctions of the truth values of assertions. The (...)
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  24. Joshua Schechter (forthcoming). Rational Self-Doubt and the Failure of Closure. Philosophical Studies:-.
    Closure for justification is the claim that thinkers are justified in believing the logical consequences of their justified beliefs, at least when those consequences are competently deduced. Many have found this principle to be very plausible. Even more attractive is the special case of Closure known as Single-Premise Closure. In this paper, I present a challenge to Single-Premise Closure. The challenge is based on the phenomenon of rational self-doubt – it can be rational to be less than fully confident in (...)
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  25. Joshua Schechter (forthcoming). Deductive Reasoning. In Hal Pashler (ed.), The Encyclopedia of the Mind. SAGE Reference.
    Deductive reasoning is the kind of reasoning in which, roughly, the truth of the input propositions (the premises) logically guarantees the truth of the output proposition (the conclusion), provided that no mistake has been made in the reasoning. The premises may be propositions that the reasoner believes or assumptions that the reasoner is exploring. Deductive reasoning contrasts with inductive reasoning, the kind of reasoning in which the truth of the premises need not guarantee the truth of the conclusion.
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  26. H. S. Shelton (1912). The Limits of Deductive Reasoning. Mind 21 (81):79-83.
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  27. Chris Tucker (forthcoming). When Transmission Fails. Philosophical Review.
    The Neo-Moorean Deduction (I have a hand, so I am not a brain-in-a-vat) and the Zebra Deduction (the creature is a zebra, so isn’t a cleverly disguised mule) are notorious. Crispin Wright, Martin Davies, Fred Dretske, and Brian McLaughlin, among others, argue that these deductions are instances of transmission failure. That is, they argue that these deductions cannot transmit justification to their conclusions. I contend, however, that the notoriety of these deductions is undeserved. My strategy is to clarify, attack, defend, (...)
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  28. Timothy Williamson (2003). Blind Reasoning. Aristotelian Society Supplementary Volume 77 (1):249–293.
    [Paul Boghossian] The paper asks under what conditions deductive reasoning transmits justification from its premises to its conclusion. It argues that both standard externalist and standard internalist accounts of this phenomenon fail. The nature of this failure is taken to indicate the way forward: basic forms of deductive reasoning must justify by being instances of 'blind but blameless' reasoning. Finally, the paper explores the suggestion that an inferentialist account of the logical constants can help explain how such reasoning is possible. (...)
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  29. Crispin Wright (2004). Warrant for Nothing (and Foundations for Free)? Aristotelian Society Supplementary Volume 78 (1):167–212.
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