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  1. Strategies in relational inference.Maxwell J. Roberts - 2000 - Thinking and Reasoning 6 (1):1 – 26.
    Three experiments are reported in which the relationships between task format, item type, and strategy usage were investigated for a two-dimensional relational inference task. Contrary to past findings with linear syllogisms, it was found that parallel presentation (presenting problem statements simultaneously) did not result in any increased use of deduction rule processes compared with serial presentation (presenting problem statements individually). Instead, the results suggested that mental models were used by the majority of subjects, and that multiple models were more likely (...)
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  • Possibilities as the foundation of reasoning.P. N. Johnson-Laird & Marco Ragni - 2019 - Cognition 193 (C):103950.
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  • Supposition and representation in human reasoning.Simon J. Handley & Jonathan StB. T. Evans - 2000 - Thinking and Reasoning 6 (4):273-311.
    We report the results of three experiments designed to assess the role of suppositions in human reasoning. Theories of reasoning based on formal rules propose that the ability to make suppositions is central to deductive reasoning. Our first experiment compared two types of problem that could be solved by a suppositional strategy. Our results showed no difference in difficulty between problems requiring affirmative or negative suppositions and very low logical solution rates throughout. Further analysis of the error data showed a (...)
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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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  • Epistemic Modals and Alternative Possibilities.John Turri - 2018 - Erkenntnis 83 (5):1063-1084.
    Indicative judgments pertain to what is true. Epistemic modal judgments pertain to what must or might be true relative to a body of information. A standard view is that epistemic modals implicitly quantify over alternative possibilities, or ways things could turn out. On this view, a proposition must be true just in case it is true in all the possibilities consistent with the available information, and a proposition might be true just in case it is true in at least one (...)
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  • Illusions in Reasoning.Sangeet S. Khemlani & P. N. Johnson-Laird - 2017 - Minds and Machines 27 (1):11-35.
    Some philosophers argue that the principles of human reasoning are impeccable, and that mistakes are no more than momentary lapses in “information processing”. This article makes a case to the contrary. It shows that human reasoners commit systematic fallacies. The theory of mental models predicts these errors. It postulates that individuals construct mental models of the possibilities to which the premises of an inference refer. But, their models usually represent what is true in a possibility, not what is false. This (...)
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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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  • Strategies in Syllogistic Reasoning.Monica Bucciarelli & P. N. Johnson-Laird - 1999 - Cognitive Science 23 (3):247-303.
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  • Naive causality: a mental model theory of causal meaning and reasoning.Eugenia Goldvarg & P. N. Johnson-Laird - 2001 - Cognitive Science 25 (4):565-610.
    This paper outlines a theory and computer implementation of causal meanings and reasoning. The meanings depend on possibilities, and there are four weak causal relations: A causes B, A prevents B, A allows B, and A allows not‐B, and two stronger relations of cause and prevention. Thus, A causes B corresponds to three possibilities: A and B, not‐A and B, and not‐A and not‐B, with the temporal constraint that B does not precede A; and the stronger relation conveys only the (...)
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  • Deduction and induction: Reasoning through mental models. [REVIEW]Bruno G. Bara & Monica Bucciarelli - 2000 - 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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  • An antidote to illusory inferences.Carlos Santamaria & P. N. Johnson-Laird - 2000 - 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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  • On the information-processing demands of spatial reasoning.Sergio Morra - 2001 - Thinking and Reasoning 7 (4):347 – 365.
    This article describes a study on capacity limitations that affect the construction of spatial mental models. A process model is presented, according to which the construction of a mental model in Ehrlich and Johnson-Laird's (1982) spatial descriptions task places a workload of six information chunks for continuous and semi-continuous descriptions, and seven chunks for discontinuous descriptions. Participants (48 undergraduate students) performed the spatial descriptions task and the figural intersections test (FIT), which yields a capacity score. The pattern of errors and (...)
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  • Reasoning with conditionals.Guy Politzer - 2007 - Topoi 26 (1):79-95.
    This paper reviews the psychological investigation of reasoning with conditionals, putting an emphasis on recent work. In the first part, a few methodological remarks are presented. In the second part, the main theories of deductive reasoning (mental rules, mental models, and the probabilistic approach) are considered in turn; their content is summarised and the semantics they assume for if and the way they explain formal conditional reasoning are discussed, in particular in the light of experimental work on the probability of (...)
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  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)
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  • Predicting the difficulty of complex logical reasoning problems.Stephen E. Newstead, Peter Bradon, Simon J. Handley, Ian Dennis & Jonathan St B. T. Evans - 2006 - Thinking and Reasoning 12 (1):62 – 90.
    The aim of the present research was to develop a difficulty model for logical reasoning problems involving complex ordered arrays used in the Graduate Record Examination. The approach used involved breaking down the problems into their basic cognitive elements such as the complexity of the rules used, the number of mental models required to represent the problem, and question type. Weightings for these different elements were derived from two experimental studies and from the reasoning literature. Based on these weights, difficulty (...)
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  • Quantifier interpretation and syllogistic reasoning.Maxwell J. Roberts, Stephen E. Newstead & Richard A. Griggs - 2001 - Thinking and Reasoning 7 (2):173 – 204.
    Many researchers have suggested that premise interpretation errors can account, at least in part, for errors on categorical syllogisms. However, although it is possible to show that people make such errors in simple inference tasks, the evidence for them is far less clear when actual syllogisms are administered. Part of the problem is due to the lack of clear predictions for the solutions that would be expected when using modified quantifiers, assuming that correct inferences are made from them. This paper (...)
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  • Model theory of deduction: a unified computational approach.Bruno G. Bara, Monica Bucciarelli & Vincenzo Lombardo - 2001 - Cognitive Science 25 (6):839-901.
    One of the most debated questions in psychology and cognitive science is the nature and the functioning of the mental processes involved in deductive reasoning. However, all existing theories refer to a specific deductive domain, like syllogistic, propositional or relational reasoning.Our goal is to unify the main types of deductive reasoning into a single set of basic procedures. In particular, we bring together the microtheories developed from a mental models perspective in a single theory, for which we provide a formal (...)
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  • Reinstatement, floating conclusions, and the credulity of Mental Model reasoning.Jean-Franĉois Bonnefon - 2004 - Cognitive Science 28 (4):621-631.
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  • Linguistic-pragmatic factors in interpreting disjunctions.Ira A. Noveck, Gennaro Chierchia, Florelle Chevaux, Raphaelle Guelminger & Emmanuel Sylvestre - 2002 - Thinking and Reasoning 8 (4):297 – 326.
    The connective or can be treated as an inclusive disjunction or else as an exclusive disjunction. Although researchers are aware of this distinction, few have examined the conditions under which each interpretation should be anticipated. Based on linguistic-pragmatic analyses, we assume that interpretations are initially inclusive before either (a) remaining so, or (b) becoming exclusive by way of an implicature ( but not both ). We point to a class of situations that ought to predispose disjunctions to inclusive interpretations and (...)
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  • Models rule, OK? A reply to Fetzer.P. N. Johnson-Laird & Ruth M. J. Byrne - 1999 - Minds and Machines 9 (1):111-118.
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  • The processes of inference.Sangeet Khemlani & P. N. Johnson-Laird - 2013 - Argument and Computation 4 (1):4 - 20.
    (2013). The processes of inference. Argument & Computation: Vol. 4, Formal Models of Reasoning in Cognitive Psychology, pp. 4-20. doi: 10.1080/19462166.2012.674060.
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  • Plugging a tooth before anaesthetising the patient? The influence of people's beliefs on reasoning about the temporal order of actions.Vicky Dierckx, André Vandierendonck, Baptist Liefooghe & Evelien Christiaens - 2004 - Thinking and Reasoning 10 (4):371-404.
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