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  1. 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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  • Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers.D. Sobel - 2004 - Cognitive Science 28 (3):303-333.
    Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children recognizing relevant associations among events, and responding based on those associations. To examine this claim, in Experiments 1 and 2, children were introduced to a “blicket detector,” a machine that lit up and played music when certain objects were placed upon it. Children observed patterns of contingency between objects and the machine's activation that (...)
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  • Human and nonhuman systems are adaptive in a different sense.Tamás Zétényi - 1991 - Behavioral and Brain Sciences 14 (3):507-508.
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  • Revitalizing the metaphoric process in commonsense psychology.Wan-Chi Wong - 2002 - Philosophical Psychology 15 (4):473 – 488.
    In response to the increasingly acknowledged power of metaphor upon everyday and scientific thinking, the present essay aims to revitalize the metaphoric process in commonsense psychology from the interaction view perspective. As prerequisites, a historical review of the "man-the-scientist" metaphor inherited in commonsense psychology, and a situation analysis of its dormant state are attempted. With metaphorical imagination, a holistic-paradigmatic view of personal theories is postulated on the basis of new knowledge in the philosophy and history of science, namely, the Duhem (...)
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  • Are philosophers expert intuiters?Jonathan M. Weinberg, Chad Gonnerman, Cameron Buckner & Joshua Alexander - 2010 - Philosophical Psychology 23 (3):331-355.
    Recent experimental philosophy arguments have raised trouble for philosophers' reliance on armchair intuitions. One popular line of response has been the expertise defense: philosophers are highly-trained experts, whereas the subjects in the experimental philosophy studies have generally been ordinary undergraduates, and so there's no reason to think philosophers will make the same mistakes. But this deploys a substantive empirical claim, that philosophers' training indeed inculcates sufficient protection from such mistakes. We canvass the psychological literature on expertise, which indicates that people (...)
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  • Mental Models of the Day/Night Cycle.Stella Vosniadou & William F. Brewer - 1994 - Cognitive Science 18 (1):123-183.
    This article presents the results of an experiment which investigated elementary school children's explanations of the day/night cycle. First, third, and fifth grade children were asked to explain certain phenomena, such as the disappearance of the sun during the night, the disappearance of stars during the day, the apparent movement of the moon, and the alteration of day and night. The results showed that the majority of the children in our sample used in a consistent fashion a small number of (...)
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  • Students' explanations of their knowledge of learning processes.Joke H. van Velzen - 2013 - Educational Studies 39 (1):83-95.
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  • In defense of the ivory tower: Why philosophers should stay out of politics.Bas van der Vossen - 2015 - Philosophical Psychology 28 (7):1045-1063.
    Many political theorists, philosophers, social scientists, and other academics engage in political activism. And many think this is how things ought to be. In this essay, I challenge the ideal of the politically engaged academic. I argue that, quite to the contrary, political theorists, philosophers, and other political thinkers have a prima facie duty to refrain from political activism. This argument is based on a commonsense moral principle, a claim about the point of political thought, and findings in cognitive psychology.
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  • Computational resources do constrain behavior.John K. Tsotsos - 1991 - Behavioral and Brain Sciences 14 (3):506-507.
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  • The Indolent Sympathy: An Explanation from Haidt’s Perspective.José Oliverio Tovar-Bohórquez - 2022 - Revista de Humanidades de Valparaíso 19:203-219.
    In this paper, I use Jonathan Haidt’s theory to explore an affective disposition that I call “indolent sympathy”. I argue that this disposition prevents a considerable group of human beings from showing solidarity with the millions of people who find themselves in conditions of poverty or extreme poverty. To demonstrate this, I will first present two dissimilar cases that show the type of affective disposition that I wish to submit to the reader’s consideration. Secondly, I will discuss the main characteristics (...)
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  • The Role of Frontostriatal Systems in Instructed Reinforcement Learning: Evidence From Genetic and Experimentally-Induced Variation.Nathan Tardiff, Kathryn N. Graves & Sharon L. Thompson-Schill - 2018 - Frontiers in Human Neuroscience 12.
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  • Visualizing the emergent structure of children's mathematical argument.Dolores Strom, Vera Kemeny, Richard Lehrer & Ellice Forman - 2001 - Cognitive Science 25 (5):733-773.
    Mathematics educators suggest that students of all ages need to participate in productive forms of mathematical argument (NCTM, 2000). Accordingly, we developed two complementary frameworks for analyzing the emergence of mathematical argumentation in one second‐grade classroom. Children attempted to resolve contesting claims about the “space covered” by three different‐looking rectangles of equal area measure. Our first analysis renders the topology of the semantic structure of the classroom conversation as a directed graph. The graph affords clear “at a glance” visualization of (...)
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  • A theory of argumentative understanding: Relationships among position preference, judgments of goodness, memory and reasoning. [REVIEW]Nancy L. Stein & Christopher A. Miller - 1993 - Argumentation 7 (2):183-204.
    Data are presented that focus on the nature and development of argumentative reasoning. In particular our study describes how support for or against an issue affects memory for critical parts of an argumentative interaction, judgments of argument goodness, and the content of the reasons given in support of one view versus another. Two other factors were examined: developmental differences in argumentation skill and the conditional nature of supporting one side of an argument across varying contexts. Our results show that even (...)
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  • Rationality and irrationality: Still fighting words.Paul Snow - 1991 - Behavioral and Brain Sciences 14 (3):505-506.
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  • A Bayesian theory of thought.Howard Smokler - 1991 - Behavioral and Brain Sciences 14 (3):505-505.
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  • But how does the brain think?Steven L. Small - 1991 - Behavioral and Brain Sciences 14 (3):504-505.
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  • The rationality of causal inference.Thomas R. Shultz - 1991 - Behavioral and Brain Sciences 14 (3):503-504.
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  • On the nonapplicability of a rational analysis to human cognition.Eldar Shafir - 1991 - Behavioral and Brain Sciences 14 (3):502-503.
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  • The Generality/Specificity of Expertise in Scientific Reasoning.Christian D. Schunn & John R. Anderson - 1999 - Cognitive Science 23 (3):337-370.
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  • Shuttling Between Depictive Models and Abstract Rules: Induction and Fallback.Daniel L. Schwartz & John B. Black - 1996 - Cognitive Science 20 (4):457-497.
    A productive way to think about imagistic mental models of physical systems is as though they were sources of quasi‐empirical evidence. People depict or imagine events at those points in time when they would experiment with the world if possible. Moreover, just as they would do when observing the world, people induce patterns of behavior from the results depicted in their imaginations. These resulting patterns of behavior can then be cast into symbolic rules to simplify thinking about future problems and (...)
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  • Rational analysis will not throw off the yoke of the precision-importance trade-off function.Wolfgang Schwarz - 1991 - Behavioral and Brain Sciences 14 (3):501-502.
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  • Going beyond the evidence: Abstract laws and preschoolers’ responses to anomalous data.Laura E. Schulz, Noah D. Goodman, Joshua B. Tenenbaum & Adrianna C. Jenkins - 2008 - Cognition 109 (2):211-223.
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  • Children's judgments in theory choice tasks: Scientific rationality in childhood.Ala Samarapungavan - 1992 - Cognition 45 (1):1-32.
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  • Children's thoughts on the origin of species: A study of explanatory coherence.Ala Samarapungavan & Reinout W. Wiers - 1997 - Cognitive Science 21 (2):147-177.
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  • Developmentally-based insights for science teaching.J. A. Rowell - 1993 - Science & Education 2 (2):111-136.
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  • Controlling the message: preschoolers’ use of information to teach and deceive others.Marjorie Rhodes, Elizabeth Bonawitz, Patrick Shafto, Annie Chen & Leyla Caglar - 2015 - Frontiers in Psychology 6.
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  • The cognitive laboratory, the library and the Skinner box.Howard Rachlin - 1991 - Behavioral and Brain Sciences 14 (3):501-501.
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  • The Predictive Value of Children's Understanding of Indeterminacy and Confounding for Later Mastery of the Control-of-Variables Strategy.Sonja Peteranderl & Peter A. Edelsbrunner - 2020 - Frontiers in Psychology 11.
    Prior research has identified age 9–11 as a critical period for the development of the control-of-variables strategy (CVS). We examine the stability of interindividual differences in children's CVS skills with regard to their precursor skills during this critical developmental period. To this end, we relate two precursor skills of CVS at age 9 to four skills constituting fully developed CVS more than 2 years later, controlling for children's more general cognitive development. Note thatN= 170 second- to fourth-graders worked on multiple (...)
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  • Outcomes of a Self-Regulated Learning Curriculum Model.Erin E. Peters-Burton - 2015 - Science & Education 24 (7-8):855-885.
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  • Neuroscientific Challenges to deontological theory: Implications to Moral Education.Jang-Ho Park - 2011 - Journal of Ethics: The Korean Association of Ethics 1 (82):73-125.
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  • The role of peers on student ethical decision making: evidence in support of the social intuitionist model.David Ohreen - 2021 - International Journal of Ethics Education 6 (2):289-309.
    The history of ethics often presupposes rationalist thinking on moral issues. An alternative to rationalism has been proposed by the social intuitionist model. This model suggests the bulk of our moral decisions are ‘gut reactions’ or intuitions. Unlike the rationalists, which support reasons and deliberation to draw moral conclusions, intuitionists argue such reasoning is used to support preconceived ethical decisions. This paper provides the first investigation to determine if intuitionism has any validity within business ethics. Using data from the Defining (...)
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  • Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain.Jonathan D. Nelson - 2005 - Psychological Review 112 (4):979-999.
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  • Gaming science: the “Gamification” of scientific thinking.Bradley J. Morris, Steve Croker, Corinne Zimmerman, Devin Gill & Connie Romig - 2013 - Frontiers in Psychology 4.
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  • How the construction of mental models improves learning.Monica Bucciarelli - 2007 - Mind and Society 6 (1):67-89.
    In this paper, I present a framework where possible relations between learning and mental models are explored. In particular, I’ll be concerned with non-symbolic gestures accompanying discourse and their role in inducing the construction of models and therefore deep comprehension and learning in the listener. Also, I’ll be concerned with cognitive and socio-cognitive conflicts and their roles in inducing construction of alternative models of a problem and therefore in learning to reason. Human ability to learn is of great importance for (...)
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  • Adaptive rationality and identifiability of psychological processes.Dominic W. Massaro & Daniel Friedman - 1991 - Behavioral and Brain Sciences 14 (3):499-501.
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  • Evidential diversity and premise probability in young children's inductive judgment.Yafen Lo, Ashley Sides, Joseph Rozelle & Daniel Osherson - 2002 - Cognitive Science 26 (2):181-206.
    A familiar adage in the philosophy of science is that general hypotheses are better supported by varied evidence than by uniform evidence. Several studies suggest that young children do not respect this principle, and thus suffer from a defect in their inductive methodology. We argue that the diversity principle does not have the normative status that psychologists attribute to it, and should be replaced by a simple rule of probability. We then report experiments designed to detect conformity to the latter (...)
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  • All Models Are Wrong, and Some Are Religious: Supernatural Explanations as Abstract and Useful Falsehoods about Complex Realities.Aaron D. Lightner & Edward H. Hagen - 2022 - Human Nature 33 (4):425-462.
    Many cognitive and evolutionary theories of religion argue that supernatural explanations are byproducts of our cognitive adaptations. An influential argument states that our supernatural explanations result from a tendency to generate anthropomorphic explanations, and that this tendency is a byproduct of an error management strategy because agents tend to be associated with especially high fitness costs. We propose instead that anthropomorphic and other supernatural explanations result as features of a broader toolkit of well-designed cognitive adaptations, which are designed for explaining (...)
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  • Prompting Children’s Belief Revision About Balance Through Primary and Secondary Sources of Evidence.Nicole E. Larsen, Vaunam P. Venkadasalam & Patricia A. Ganea - 2020 - Frontiers in Psychology 11.
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  • : Developing reason.Deanna Kuhn, Jared B. Katz & David Dean Jr - 2004 - Thinking and Reasoning 10 (2):197 – 219.
    We argue in favour of the general proposition that the nature of reasoning is best understood within a context of its origins and development. A major dimension of what develops in the years from childhood to adulthood, we propose, is increasing meta-level monitoring and management of cognition. Two domains are examined in presenting support for these claims—multivariable causal reasoning and argumentive reasoning.
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  • Thinking like a scientist: Innateness as a case study.Joshua Knobe & Richard Samuels - 2013 - Cognition 126 (1):72-86.
    The concept of innateness appears in systematic research within cognitive science, but it also appears in less systematic modes of thought that long predate the scientific study of the mind. The present studies therefore explore the relationship between the properly scientific uses of this concept and its role in ordinary folk understanding. Studies 1-4 examined the judgments of people with no specific training in cognitive science. Results showed (a) that judgments about whether a trait was innate were not affected by (...)
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  • Scientific Reasoning in Biology – the Impact of Domain-General and Domain-Specific Concepts on Children’s Observation Competency.Janina Klemm, Pamela Flores, Beate Sodian & Birgit J. Neuhaus - 2020 - Frontiers in Psychology 11.
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  • Probing the “Achilles' heel” of rational analysis.Keith J. Holyoak - 1991 - Behavioral and Brain Sciences 14 (3):498-499.
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  • Anomalous Evidence, Confidence Change, and Theory Change.Joshua A. Hemmerich, Kellie Van Voorhis & Jennifer Wiley - 2016 - Cognitive Science 40 (6):1534-1560.
    A novel experimental paradigm that measured theory change and confidence in participants' theories was used in three experiments to test the effects of anomalous evidence. Experiment 1 varied the amount of anomalous evidence to see if “dose size” made incremental changes in confidence toward theory change. Experiment 2 varied whether anomalous evidence was convergent or replicating. Experiment 3 varied whether participants were provided with an alternative theory that explained the anomalous evidence. All experiments showed that participants' confidence changes were commensurate (...)
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  • Young children's naive theory of biology.Giyoo Hatano & Kayoko Inagaki - 1994 - Cognition 50 (1-3):171-188.
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  • Rational analysis and the Lens model.Reid Hastie & Kenneth R. Hammond - 1991 - Behavioral and Brain Sciences 14 (3):498-498.
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  • The Emotional Dog and Its Rational Tail: A Social Intuitionist Approach to Moral Judgment.Jonathan Haidt - 2001 - Psychological Review 108 (4):814-834.
    Research on moral judgment has been dominated by rationalist models, in which moral judgment is thought to be caused by moral reasoning. The author gives 4 reasons for considering the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it deemphasizes the private reasoning done (...)
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  • Rational argument, rational inference.Ulrike Hahn, Adam J. L. Harris & Mike Oaksford - 2012 - Argument and Computation 4 (1):21 - 35.
    (2013). Rational argument, rational inference. Argument & Computation: Vol. 4, Formal Models of Reasoning in Cognitive Psychology, pp. 21-35. doi: 10.1080/19462166.2012.689327.
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  • Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum & Alison Gopnik - 2011 - Cognitive Science 35 (8):1407-1455.
    People are adept at inferring novel causal relations, even from only a few observations. Prior knowledge about the probability of encountering causal relations of various types and the nature of the mechanisms relating causes and effects plays a crucial role in these inferences. We test a formal account of how this knowledge can be used and acquired, based on analyzing causal induction as Bayesian inference. Five studies explored the predictions of this account with adults and 4-year-olds, using tasks in which (...)
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  • Bayes in the context of suboptimality.Robert A. M. Gregson - 1991 - Behavioral and Brain Sciences 14 (3):497-498.
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  • Introduction to Cognition in Science and Technology.Michael E. Gorman - 2009 - Topics in Cognitive Science 1 (4):675-685.
    Cognitive studies of science and technology have had a long history of largely independent research projects that have appeared in multiple outlets, but rarely together. The emergence of a new International Society for Psychology of Science and Technology suggests that this is a good time to put some of the latest work in this area into topiCS in a way that will both acquaint readers with the cutting edge in this domain and also give them a hint of its history. (...)
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