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  1. An improved probabilistic account of counterfactual reasoning.Christopher G. Lucas & Charles Kemp - 2015 - Psychological Review 122 (4):700-734.
    When people want to identify the causes of an event, assign credit or blame, or learn from their mistakes, they often reflect on how things could have gone differently. In this kind of reasoning, one considers a counterfactual world in which some events are different from their real-world counterparts and considers what else would have changed. Researchers have recently proposed several probabilistic models that aim to capture how people do (or should) reason about counterfactuals. We present a new model and (...)
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  • Richard C. Jeffrey. Formal logic: Its scope and limits. McGraw-Hill Book Company, New York etc. 1967, xii + 238 pp. - Richard C. Jeffrey. Instructor's manual to accompany Formal logic: Its scope and limits. McGraw-Hill Book Company, New York etc. 1967, iii + 58 pp. [REVIEW] Sibajiban - 1973 - Journal of Symbolic Logic 38 (4):646-647.
  • How people think “if only …” about reasons for actions.Clare R. Walsh & Ruth M. J. Byrne - 2007 - Thinking and Reasoning 13 (4):461 – 483.
    When people think about how a situation might have turned out differently, they tend to imagine counterfactual alternatives to their actions. We report the results of three experiments which show that people imagine alternatives to actions differently when they know about a reason for the action. The first experiment ( n = 36) compared reason - action sequences to cause - effect sequences. It showed that people do not imagine alternatives to reasons in the way they imagine alternatives to causes: (...)
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  • A dual-process specification of causal conditional reasoning.Niki Verschueren, Walter Schaeken & Géry D'Ydewalle - 2005 - Thinking and Reasoning 11 (3):239-278.
  • Semantic Interpretation as Computation in Nonmonotonic Logic: The Real Meaning of the Suppression Task.Keith Stenning & Michiel Lambalgen - 2005 - Cognitive Science 29 (6):919-960.
    Interpretation is the process whereby a hearer reasons to an interpretation of a speaker's discourse. The hearer normally adopts a credulous attitude to the discourse, at least for the purposes of interpreting it. That is to say the hearer tries to accommodate the truth of all the speaker's utterances in deriving an intended model. We present a nonmonotonic logical model of this process which defines unique minimal preferred models and efficiently simulates a kind of closed-world reasoning of particular interest for (...)
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  • Semantic Interpretation as Computation in Nonmonotonic Logic: The Real Meaning of the Suppression Task.Keith Stenning & Michiel van Lambalgen - 2005 - Cognitive Science 29 (6):919-960.
    Interpretation is the process whereby a hearer reasons to an interpretation of a speaker's discourse. The hearer normally adopts a credulous attitude to the discourse, at least for the purposes of interpreting it. That is to say the hearer tries to accommodate the truth of all the speaker's utterances in deriving an intended model. We present a nonmonotonic logical model of this process which defines unique minimal preferred models and efficiently simulates a kind of closed-world reasoning of particular interest for (...)
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  • Logic programming, probability, and two-system accounts of reasoning: a rejoinder to Oaksford and Chater.Keith Stenning & Michiel van Lambalgen - 2016 - Thinking and Reasoning 22 (3):355-368.
    This reply to Oaksford and Chater’s ’s critical discussion of our use of logic programming to model and predict patterns of conditional reasoning will frame the dispute in terms of the semantics of the conditional. We begin by outlining some common features of LP and probabilistic conditionals in knowledge-rich reasoning over long-term memory knowledge bases. For both, context determines causal strength; there are inferences from the absence of certain evidence; and both have analogues of the Ramsey test. Some current work (...)
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  • Logic in the study of psychiatric disorders: Executive function and rule-following.Keith Stenning & Michiel van Lambalgen - 2007 - Topoi 26 (1):97-114.
    Executive function has become an important concept in explanations of psychiatric disorders, but we currently lack comprehensive models of normal executive function and of its malfunctions. Here we illustrate how defeasible logical analysis can aid progress in this area. We illustrate using autism and attention deficit hyperactivity disorder (ADHD) as example disorders, and show how logical analysis reveals commonalities between linguistic and non-linguistic behaviours within each disorder, and how contrasting sub-components of executive function are involved across disorders. This analysis reveals (...)
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  • Logic in the study of psychiatric disorders: executive function and rule-following.Keith Stenning & Michiel Lambalgen - 2007 - Topoi 26 (1):97-114.
    Executive function has become an important concept in explanations of psychiatric disorders, but we currently lack comprehensive models of normal executive function and of its malfunctions. Here we illustrate how defeasible logical analysis can aid progress in this area. We illustrate using autism and attention deficit hyperactivity disorder (ADHD) as example disorders, and show how logical analysis reveals commonalities between linguistic and non-linguistic behaviours within each disorder, and how contrasting sub-components of executive function are involved across disorders. This analysis reveals (...)
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  • Deduction from Uncertain Premises.Rosemary J. Stevenson & David E. Over - 1995 - Quarterly Journal of Experimental Psychology Section A 48 (3):613-643.
    We investigate how the perceived uncertainty of a conditional affects a person's choice of conclusion. We use a novel procedure to introduce uncertainty by manipulating the conditional probability of the consequent given the antecedent. In Experiment 1, we show first that subjects reduce their choice of valid conclusions when a conditional is followed by an additional premise that makes the major premise uncertain. In this we replicate Byrne. These subjects choose, instead, a qualified conclusion expressing uncertainty. If subjects are given (...)
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  • Do We “do‘?Steven A. Sloman & David A. Lagnado - 2005 - Cognitive Science 29 (1):5-39.
    A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines. The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To represent intervention, Pearl employed the do operator that simplifies the structure of a causal model by disconnecting an intervened-on variable from its normal causes. Construing the do operator as a psychological function affords predictions about how people (...)
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  • Two causal theories of counterfactual conditionals.Lance J. Rips - 2010 - Cognitive Science 34 (2):175-221.
    Bayes nets are formal representations of causal systems that many psychologists have claimed as plausible mental representations. One purported advantage of Bayes nets is that they may provide a theory of counterfactual conditionals, such as If Calvin had been at the party, Miriam would have left early. This article compares two proposed Bayes net theories as models of people's understanding of counterfactuals. Experiments 1-3 show that neither theory makes correct predictions about backtracking counterfactuals (in which the event of the if-clause (...)
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  • Inference and Explanation in Counterfactual Reasoning.Lance J. Rips & Brian J. Edwards - 2013 - Cognitive Science 37 (6):1107-1135.
    This article reports results from two studies of how people answer counterfactual questions about simple machines. Participants learned about devices that have a specific configuration of components, and they answered questions of the form “If component X had not operated [failed], would component Y have operated?” The data from these studies indicate that participants were sensitive to the way in which the antecedent state is described—whether component X “had not operated” or “had failed.” Answers also depended on whether the device (...)
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  • A theory and a computational model of spatial reasoning with preferred mental models.Marco Ragni & Markus Knauff - 2013 - Psychological Review 120 (3):561-588.
  • Reasoning with deontic and counterfactual conditionals.Ana Cristina Quelhas & Ruth Byrne - 2003 - Thinking and Reasoning 9 (1):43 – 65.
    We report two new phenomena of deontic reasoning: (1) For conditionals with deontic content such as, "If the nurse cleaned up the blood then she must have worn rubber gloves", reasoners make more modus tollens inferences (from "she did not wear rubber gloves" to "she did not clean up the blood") compared to conditionals with epistemic content. (2) For conditionals in the subjunctive mood with deontic content, such as, "If the nurse had cleaned up the blood then she must have (...)
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  • Responses to inconsistent premisses cannot count as suppression of valid inferences.Guy Politzer & Martin D. S. Braine - 1991 - Cognition 38 (1):103-108.
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  • Structural Counterfactuals: A Brief Introduction.Judea Pearl - 2013 - Cognitive Science 37 (6):977-985.
    Recent advances in causal reasoning have given rise to a computational model that emulates the process by which humans generate, evaluate, and distinguish counterfactual sentences. Contrasted with the “possible worlds” account of counterfactuals, this “structural” model enjoys the advantages of representational economy, algorithmic simplicity, and conceptual clarity. This introduction traces the emergence of the structural model and gives a panoramic view of several applications where counterfactual reasoning has benefited problem areas in the empirical sciences.
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  • The Comprehension of Counterfactual Conditionals: Evidence From Eye-Tracking in the Visual World Paradigm.Isabel Orenes, Juan A. García-Madruga, Isabel Gómez-Veiga, Orlando Espino & Ruth M. J. Byrne - 2019 - Frontiers in Psychology 10.
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  • Dynamic inference and everyday conditional reasoning in the new paradigm.Mike Oaksford & Nick Chater - 2013 - Thinking and Reasoning 19 (3-4):346-379.
  • If the real world were irrelevant, so to speak: The role of propositional truth-value in counterfactual sentence comprehension.Mante S. Nieuwland & Andrea E. Martin - 2012 - Cognition 122 (1):102-109.
  • Inferences from disclosures about the truth and falsity of expert testimony.Sergio Moreno-Ríos & Ruth M. J. Byrne - 2018 - Thinking and Reasoning 24 (1):41-78.
    Participants acting as mock jurors made inferences about whether a person was a suspect in a murder based on an expert's testimony about the presence of objects at the crime scene and the disclosure that the testimony was true or false. Experiment 1 showed that participants made more correct inferences, and made inferences more quickly, when the truth or falsity of the expert's testimony was disclosed immediately after the testimony rather than when the disclosure was delayed. Experiment 2 showed no (...)
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  • Explanation in artificial intelligence: Insights from the social sciences.Tim Miller - 2019 - Artificial Intelligence 267 (C):1-38.
  • Causal Responsibility and Counterfactuals.David A. Lagnado, Tobias Gerstenberg & Ro'I. Zultan - 2013 - Cognitive Science 37 (6):1036-1073.
    How do people attribute responsibility in situations where the contributions of multiple agents combine to produce a joint outcome? The prevalence of over-determination in such cases makes this a difficult problem for counterfactual theories of causal responsibility. In this article, we explore a general framework for assigning responsibility in multiple agent contexts. We draw on the structural model account of actual causation (e.g., Halpern & Pearl, 2005) and its extension to responsibility judgments (Chockler & Halpern, 2004). We review the main (...)
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  • Causal superseding.Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David Lagnado & Joshua Knobe - 2015 - Cognition 137 (C):196-209.
    When agents violate norms, they are typically judged to be more of a cause of resulting outcomes. In this paper, we suggest that norm violations also affect the causality attributed to other agents, a phenomenon we refer to as "causal superseding." We propose and test a counterfactual reasoning model of this phenomenon in four experiments. Experiments 1 and 2 provide an initial demonstration of the causal superseding effect and distinguish it from previously studied effects. Experiment 3 shows that this causal (...)
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  • Facts and Possibilities: A Model‐Based Theory of Sentential Reasoning.Sangeet S. Khemlani, Ruth M. J. Byrne & Philip N. Johnson-Laird - 2018 - Cognitive Science 42 (6):1887-1924.
    This article presents a fundamental advance in the theory of mental models as an explanation of reasoning about facts, possibilities, and probabilities. It postulates that the meanings of compound assertions, such as conditionals (if) and disjunctions (or), unlike those in logic, refer to conjunctions of epistemic possibilities that hold in default of information to the contrary. Various factors such as general knowledge can modulate these interpretations. New information can always override sentential inferences; that is, reasoning in daily life is defeasible (...)
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  • Propositional reasoning by model.Philip N. Johnson-Laird, Ruth M. Byrne & Walter Schaeken - 1992 - Psychological Review 99 (3):418-439.
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  • Conditionals: A theory of meaning, pragmatics, and inference.Philip Johnson-Laird & Ruth M. J. Byrne - 2002 - Psychological Review 109 (4):646-678.
    The authors outline a theory of conditionals of the form If A then C and If A then possibly C. The 2 sorts of conditional have separate core meanings that refer to sets of possibilities. Knowledge, pragmatics, and semantics can modulate these meanings. Modulation can add information about temporal and other relations between antecedent and consequent. It can also prevent the construction of possibilities to yield 10 distinct sets of possibilities to which conditionals can refer. The mental representation of a (...)
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  • Autism and performance on the suppression task: Reasoning, context and complexity.Rebecca McKenzie, Jonathan St B. T. Evans & Simon J. Handley - 2011 - Thinking and Reasoning 17 (2):182 - 196.
  • Reasoning from uncertain premises.Christian George - 1997 - Thinking and Reasoning 3 (3):161 – 189.
    Previous studies have shown that 1 participants are reluctant to accept a conclusion as certainly true when it is derived from a valid conditional argument that includes a doubtful premise, and 2 participants typically link the degree of uncertainty found in a given premise set to its conclusion. Two experiments were designed to further investigate these phenomena. Ninety adult participants in Experiment 1 were first asked to judge the validity of three conditional arguments Modus Ponens, Denial of the Antecedent, and (...)
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  • Information amplified: Memory for counterfactual conditionals.Samuel Fillenbaum - 1974 - Journal of Experimental Psychology 102 (1):44-49.
    Conducted 2 experiments with undergraduates which demonstrated that, in a recognition memory task, Ss recognized the negated antecedent and consequent propositions of previously encountered counterfactual conditionals significantly more often than control items, the latter effect being distinctly stronger (Exp I, n = 110). A similar result was obtained for causals related to previously encountered counterfactual conditionals and counterfactual conditionals related to previously encountered causals, the latter being the stronger effect (Exp II, n = 92). Results are discussed in the context (...)
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  • Suppositions, extensionality, and conditionals: A critique of the mental model theory of Johnson-Laird and Byrne (2002).Jonathan St B. T. Evans, David E. Over & Simon J. Handley - 2005 - Psychological Review 112 (4):1040-1052.
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  • Thinking About the Opposite of What Is Said: Counterfactual Conditionals and Symbolic or Alternate Simulations of Negation.Orlando Espino & Ruth M. J. Byrne - 2018 - Cognitive Science 42 (8):2459-2501.
    When people understand a counterfactual such as “if the flowers had been roses, the trees would have been orange trees,” they think about the conjecture, “there were roses and orange trees,” and they also think about its opposite, the presupposed facts. We test whether people think about the opposite by representing alternates, for example, “poppies and apple trees,” or whether models can contain symbols, for example, “no roses and no orange trees.” We report the discovery of an inference‐to‐alternates effect—a tendency (...)
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  • Strategies during complex conditional inferences.Kristien Dieussaert, Walter Schaeken, Walter Schroyens & Gery D'Ydewalle - 2000 - Thinking and Reasoning 6 (2):125 – 160.
    In certain contexts reasoners reject instances of the valid Modus Ponens and Modus Tollens inference form in conditional arguments. Byrne (1989) observed this suppression effect when a conditional premise is accompanied by a conditional containing an additional requirement. In an earlier study, Rumain, Connell, and Braine (1983) observed suppression of the invalid inferences "the denial of the antecedent" and "the affirmation of the consequent" when a conditional premise is accompanied by a conditional containing an alternative requirement. Here we present three (...)
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  • Modeling the suppression task under weak completion and well-founded semantics.Emmanuelle-Anna Dietz, Steffen Hölldobler & Christoph Wernhard - 2014 - Journal of Applied Non-Classical Logics 24 (1-2):61-85.
    Formal approaches that aim at representing human reasoning should be evaluated based on how humans actually reason. One way of doing so is to investigate whether psychological findings of human reasoning patterns are represented in the theoretical model. The computational logic approach discussed here is the so-called weak completion semantics which is based on the three-valued ᴌukasiewicz logic. We explain how this approach adequately models Byrne’s suppression task, a psychological study where the experimental results show that participants’ conclusions systematically deviate (...)
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  • Working memory and counterexample retrieval for causal conditionals.Wim De Neys, Walter Schaeken & Géry D'Ydewalle - 2005 - Thinking and Reasoning 11 (2):123-150.
  • Working memory and everyday conditional reasoning: Retrieval and inhibition of stored counterexamples.Wim De Neys, Walter Schaeken & Géry D'Ydewalle - 1995 - Thinking and Reasoning 11 (4):349-381.
    Two experiments examined the contribution of working memory (WM) to the retrieval and inhibition of background knowledge about counterexamples (alternatives and disablers, Cummins, ) during conditional reasoning. Experiment 1 presented a conditional reasoning task with everyday, causal conditionals to a group of people with high and low WM spans. High spans rejected the logically invalid AC and DA inferences to a greater extent than low spans, whereas low spans accepted the logically valid MP and MT inferences less frequently than high (...)
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  • Causal Explanation and Fact Mutability in Counterfactual Reasoning.Morteza Dehghani, Rumen Iliev & Stefan Kaufmann - 2012 - Mind and Language 27 (1):55-85.
    Recent work on the interpretation of counterfactual conditionals has paid much attention to the role of causal independencies. One influential idea from the theory of Causal Bayesian Networks is that counterfactual assumptions are made by intervention on variables, leaving all of their causal non-descendants unaffected. But intervention is not applicable across the board. For instance, backtracking counterfactuals, which involve reasoning from effects to causes, cannot proceed by intervention in the strict sense, for otherwise they would be equivalent to their consequents. (...)
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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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  • The contrary-to-fact conditional.Roderick M. Chisholm - 1946 - Mind 55 (220):289-307.
  • Suppression of valid inferences: syntactic views, mental models, and relative salience.David Chan & Fookkee Chua - 1994 - Cognition 53 (3):217-238.
    Byrne has demonstrated that although subjects can make deductively valid inferences of the modus ponens and modus tollens forms, these valid inferences can be suppressed by presenting an appropriate additional premise “If R then Q” with the original conditional “If P then Q”. This suppression effect challenges the assumption of all syntactic theories of conditional reasoning that formal rules of inference such as modus ponens is part of mental logic. This paper argues that both the syntactic and the mental model (...)
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  • Conditionals, Context, and the Suppression Effect.Fabrizio Cariani & Lance J. Rips - 2017 - Cognitive Science 41 (3):540-589.
    Modus ponens is the argument from premises of the form If A, then B and A to the conclusion B. Nearly all participants agree that the modus ponens conclusion logically follows when the argument appears in this Basic form. However, adding a further premise can lower participants’ rate of agreement—an effect called suppression. We propose a theory of suppression that draws on contemporary ideas about conditional sentences in linguistics and philosophy. Semantically, the theory assumes that people interpret an indicative conditional (...)
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  • Suppressing valid inferences with conditionals.Ruth M. J. Byrne - 1989 - Cognition 31 (1):61-83.
    Three experiments are reported which show that in certain contexts subjects reject instances of the valid modus ponens and modus tollens inference form in conditional arguments. For example, when a conditional premise, such as: If she meets her friend then she will go to a play, is accompanied by a conditional containing an additional requirement: If she has enough money then she will go to a play, subjects reject the inference from the categorical premise: She meets her friend, to the (...)
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  • Can valid inferences be suppressed?Ruth M. J. Byrne - 1991 - Cognition 39 (1):71-78.
  • The suppression of modus ponens as a case of pragmatic preconditional reasoning.Jean-Francois Bonnefon & Denis J. Hilton - 2002 - Thinking and Reasoning 8 (1):21 – 40.
    The suppression of the Modus Ponens inference is described as a loss of confidence in the conclusion C of an argument ''If A1 then C; If A2 then C; A1'' where A2 is a requirement for C to happen. It is hypothesised that this loss of confidence is due to the derivation of the conversational implicature ''there is a chance that A2 might not be satisfied'', and that different syntactic introductions of the requirement A2 (e.g., ''If C then A2'') will (...)
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  • The suppression of Modus Ponens as a case of pragmatic preconditional reasoning.Jean-Francois Bonnefon & Denis J. Hilton - 2002 - Thinking and Reasoning 8 (1):21-40.
    The suppression of the Modus Ponens inference is described as a loss of confidence in the conclusion C of an argument “If A1 then C; If A2 then C; A1” where A2 is a requirement for C to happen. It is hypothesised that this loss of confidence is due to the derivation of the conversational implicature “there is a chance that A2 might not be satisfied”, and that different syntactic introductions of the requirement A2 (e.g., “If C then A2”) will (...)
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  • On imagining what is true (and what is false).Patricia Barres & P. N. Johnson-Laird - 2003 - Thinking and Reasoning 9 (1):1 – 42.
    How do people imagine the possibilities in which an assertion would be true and the possibilities in which it would be false? We argue that the mental representation of the meanings of connectives, such as "and", "or", and "if", specify how to construct the true possibilities for simple assertions containing just a single connective. It follows that the false possibilities are constructed by inference from the true possibilities. We report converging evidence supporting this account from four experiments in which the (...)
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  • Counterfactuals.David Lewis - 1973 - Tijdschrift Voor Filosofie 36 (3):602-605.
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  • Mental Logic.Martin D. S. Braine & David P. O'brien - 2001 - Studia Logica 68 (2):297-299.
  • The effects of reasons for acting on counterfactual thinking.C. R. Walsh & R. M. J. Byrne - 2007 - Thinking and Reasoning 13:461-483.
  • The Logic of Conditionals: An Application of Probability to Deductive Logic.Ernest W. Adams - 1978 - Mind 87 (348):619-623.
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