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  1. The influence of affect on higher level cognition: A review of research on interpretation, judgement, decision making and reasoning. [REVIEW]Isabelle Blanchette & Anne Richards - 2010 - Cognition and Emotion 24 (4):561-595.
    In this paper, we examine whether affect influences higher level cognitive processes. We review research on the effect of emotion on interpretation, judgement, decision making, and reasoning. In all cases, we ask first whether there is evidence that emotion affects each of these processes, and second what mechanisms might underlie these effects. Our review highlights the fact that interpretive biases are primarily linked with anxiety, while more general mood-congruent effects may be seen in judgement. Risk perception is also affected by (...)
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  • New paradigm psychology of reasoning: An introduction to the special issue edited by Elqayam, Bonnefon, and Over.Shira Elqayam & David E. Over - 2013 - Thinking and Reasoning 19 (3-4):249-265.
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  • When can we say ‘if’?Jonathan StB. T. Evans, Helen Neilens, Simon J. Handley & David E. Over - 2008 - Cognition 108 (1):100-116.
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  • Rationality in the new paradigm: Strict versus soft Bayesian approaches.Shira Elqayam & Jonathan St B. T. Evans - 2013 - Thinking and Reasoning 19 (3-4):453-470.
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  • Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
    According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...)
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  • Popper's severity of test as an intuitive probabilistic model of hypothesis testing.Fenna H. Poletiek - 2009 - Behavioral and Brain Sciences 32 (1):99-100.
    Severity of Test (SoT) is an alternative to Popper's logical falsification that solves a number of problems of the logical view. It was presented by Popper himself in 1963. SoT is a less sophisticated probabilistic model of hypothesis testing than Oaksford & Chater's (O&C's) information gain model, but it has a number of striking similarities. Moreover, it captures the intuition of everyday hypothesis testing.
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  • An experimental and simulation study of the impact of emotional information on analogical reasoning.Ariana A. Castro, John E. Hummel & Howard Berenbaum - 2023 - Cognition 238 (C):105510.
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  • Reasoning about rights and duties: mental models, world knowledge and pragmatic interpretation.Denis J. Hilton, Laetitia Charalambides & Stéphanie Hoareau-Blanchet - 2016 - Thinking and Reasoning 22 (2):150-183.
    We address the way verb-based and rule-content knowledge are combined in understanding institutional deontics. Study 1 showed that the institutional regulations used in our studies were readily categorised into one of two content groups: rights or duties. Participants perceived rights as benefiting the addressees identified by the rule, whereas they perceived duties as benefiting the collective that imposed the rule. Studies 2, 3, and 4 showed that rule content had clear effects on perceptions of violations and relevance of cases for (...)
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  • The uncertain reasoner: Bayes, logic, and rationality.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):105-120.
    Human cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. In Bayesian Rationality we argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is (...)
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  • Mental models, computational explanation and Bayesian cognitive science: Commentary on Knauff and Gazzo Castañeda (2023).Mike Oaksford - 2023 - Thinking and Reasoning 29 (3):371-382.
    Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...)
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  • The mental representation of causal conditional reasoning: Mental models or causal models.Nilufa Ali, Nick Chater & Mike Oaksford - 2011 - Cognition 119 (3):403-418.
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  • When emotions improve reasoning: The possible roles of relevance and utility.Isabelle Blanchette & Serge Caparos - 2013 - Thinking and Reasoning 19 (3-4):399-413.
    New paradigms in the psychology of reasoning have included a consideration for general contextual factors that may impact on the reasoning process, including individuals’ goals and motivations. We suggest that emotions are one such important contextual factor that influences reasoning. The classic literature on thinking and reasoning has typically ignored the possible influence of emotion, except to consider it a source of disruption. We review findings from studies where participants were asked to reason about personally relevant emotional experiences such as (...)
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