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  1. A Naturalistic Exploration of Forms and Functions of Analogizing.Robert R. Hoffman, Tom Eskridge & Cameron Shelley - 2009 - Metaphor and Symbol 24 (3):125-154.
    The purpose of this article is to invigorate debate concerning the nature of analogy, and to broaden the scope of current conceptions of analogy. We argue that analogizing is not a single or even a fundamental cognitive process. The argument relies on an analysis of the history of the concept of analogy, case studies on the use of analogy in scientific problem solving, cognitive research on analogy comprehension and problem solving, and a survey of computational mechanisms of analogy comprehension. Analogizing (...)
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  • Contextual and psychometric descriptions of intelligence: A fundamental conflict.Barry J. Zimmerman - 1984 - Behavioral and Brain Sciences 7 (2):303.
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  • A triarchic reaction to a triarchic theory of intelligence.Steven R. Yussen - 1984 - Behavioral and Brain Sciences 7 (2):303.
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  • Evaluations of Rebuttal Analogy Users: Ethical and Competence Considerations.Bryan B. Whaley - 1998 - Argumentation 12 (3):351-365.
    Recent theorizing and research concerning the pragmatics of analogy in persuasion posits that it serves two communicative functions. Specifically, rebuttal analogy instrumentally functions as argument and also as a social attack device used to demean the competence or character of opponents. The study reported here empirically investigated message receivers' perceptions of rebuttal analogy users. Participants were exposed to one of four messages employing rebuttal analogy or to one of the same four messages with a nonanalogy version of the rebuttal argument. (...)
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  • Intelligence: Some neglected topics.Philip E. Vernon - 1984 - Behavioral and Brain Sciences 7 (2):302.
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  • Some possible implications of Sternberg's triarchic theory of intelligence.Leona E. Tyler - 1984 - Behavioral and Brain Sciences 7 (2):301-302.
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  • Speed and adaptivity in intelligence.Harry C. Triandis - 1984 - Behavioral and Brain Sciences 7 (2):301-301.
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  • Understanding and appreciating metaphors.Roger Tourangeau & Robert J. Sternberg - 1982 - Cognition 11 (3):203-244.
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  • Understanding the What and When of Analogical Reasoning Across Analogy Formats: An Eye‐Tracking and Machine Learning Approach.Jean-Pierre Thibaut, Yannick Glady & Robert M. French - 2022 - Cognitive Science 46 (11):e13208.
    Starting with the hypothesis that analogical reasoning consists of a search of semantic space, we used eye-tracking to study the time course of information integration in adults in various formats of analogies. The two main questions we asked were whether adults would follow the same search strategies for different types of analogical problems and levels of complexity and how they would adapt their search to the difficulty of the task. We compared these results to predictions from the literature. Machine learning (...)
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  • Visual relations children find easy and difficult to process in figural analogies.Claire E. Stevenson, Rosa A. Alberto, Max A. van den Boom & Paul A. L. de Boeck - 2014 - Frontiers in Psychology 5.
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  • Toward a triarchic theory of human intelligence.Robert J. Sternberg - 1984 - Behavioral and Brain Sciences 7 (2):269-287.
    This article is a synopsis of a triarchic theory of human intelligence. The theory comprises three subtheories: a contextual subtheory, which relates intelligence to the external world of the individual; a componential subtheory, which relates intelligence to the individual's internal world; and a two-facet subtheory, which relates intelligence to both the external and internal worlds. The contextual subtheory defines intelligent behavior in terms of purposive adaptation to, shaping of, and selection of real-world environments relevant to one's life. The normal course (...)
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  • If at first you don't believe, try “tri” again Contextual and psychometric descriptions of intelligence: A fundamental conflict.Robert J. Sternberg - 1984 - Behavioral and Brain Sciences 7 (2):304.
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  • Components of human intelligence.Robert J. Sternberg - 1983 - Cognition 15 (1-3):1-48.
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  • Epistemology and cognition.Stephen W. Smoliar - 1988 - Artificial Intelligence 34 (2):251-264.
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  • Neuroart: picturing the neuroscience of intentional actions in art and science.Todd Siler - 2015 - Frontiers in Human Neuroscience 9.
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  • What are the interrelations among the three subtheories of Sternberg's triarchic theory of intelligence?Barbara Rogoff - 1984 - Behavioral and Brain Sciences 7 (2):300-301.
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  • Intelligence, adaptation, and inverted selection.Marc N. Richelle - 1984 - Behavioral and Brain Sciences 7 (2):299-300.
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  • How intelligent can one be?Kjell Raaheim - 1984 - Behavioral and Brain Sciences 7 (2):298-298.
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  • Context and novelty in an integrated theory of intelligence.James W. Pellegrino & Susan R. Goldman - 1984 - Behavioral and Brain Sciences 7 (2):297-298.
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  • Analogy as relational priming: The challenge of self-reflection.Andrea Cheshire, Linden J. Ball & Charlie N. Lewis - 2008 - Behavioral and Brain Sciences 31 (4):381-382.
    Despite its strengths, Leech et al.'s model fails to address the important benefits that derive from self-explanation and task feedback in analogical reasoning development. These components encourage explicit, self-reflective processes that do not necessarily link to knowledge accretion. We wonder, therefore, what mechanisms can be included within a connectionist framework to model self-reflective involvement and its beneficial consequences.
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  • Relational priming: obligational nitpicking.Varol Akman - 2008 - Behavioral and Brain Sciences 31 (4):378-379.
    According to the target article authors, initial experience with a circumstance primes a relation that can subsequently be applied to a different circumstance to draw an analogy. While I broadly agree with their claim about the role of relational priming in early analogical reasoning, I put forward a few concerns that may be worthy of further reflection.
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  • In what sense does intelligence underlie an intelligent performance?David R. Olson - 1984 - Behavioral and Brain Sciences 7 (2):296-297.
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  • Growing cognition from recycled parts.Robert Leech, Denis Mareschal & Richard P. Cooper - 2008 - Behavioral and Brain Sciences 31 (4):401-414.
    In this response, we reiterate the importance of development (both ontogenetic and phylogenetic) in the understanding of a complex cognitive skill – analogical reasoning. Four key questions structure the response: Does relational priming exist, and is it sufficient for analogy? What do we mean by relations as transformations? Could all or any relations be represented as transformations? And what about the challenge of more complex analogies? In addressing these questions we bring together a number of supportive commentaries, strengthening our emergentist (...)
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  • Analogy as relational priming: A developmental and computational perspective on the origins of a complex cognitive skill.Robert Leech, Denis Mareschal & Richard P. Cooper - 2008 - Behavioral and Brain Sciences 31 (4):357-378.
    The development of analogical reasoning has traditionally been understood in terms of theories of adult competence. This approach emphasizes structured representations and structure mapping. In contrast, we argue that by taking a developmental perspective, analogical reasoning can be viewed as the product of a substantially different cognitive ability – relational priming. To illustrate this, we present a computational (here connectionist) account where analogy arises gradually as a by-product of pattern completion in a recurrent network. Initial exposure to a situation primes (...)
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  • Uncovering the course of analogical mapping using eye tracking.Bartłomiej Kroczek, Iwona Ciechanowska & Adam Chuderski - 2022 - Cognition 225 (C):105140.
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  • Beyond the answer: Post-error processes.Gernot D. Kleiter & Kurt Schwarzenbacher - 1989 - Cognition 32 (3):255-277.
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  • Convergent and divergent thinking in verbal analogy.Lara L. Jones & Zachary Estes - 2015 - Thinking and Reasoning 21 (4):473-500.
    Individual differences in convergent and divergent thinking may uniquely explain variation in analogical reasoning ability. Across two studies we investigated the relative influences of divergent and convergent thinking as predictors of verbal analogy performance. Performance on both convergent thinking and divergent thinking uniquely predicted performance on both analogy selection and analogical generation tasks. Moreover, convergent and divergent thinking were predictive above and beyond creative behaviours in Study 1 and a composite measure of crystallised intelligence in Study 2. Verbal analogies in (...)
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  • Mental speed and levels of analysis.Arthur R. Jensen - 1984 - Behavioral and Brain Sciences 7 (2):295-296.
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  • Intellectual giftedness: A theory worth doing well.Nancy Ewald Jackson - 1984 - Behavioral and Brain Sciences 7 (2):294-295.
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  • The contexts of triarchic theory.Sidney H. Irvine - 1984 - Behavioral and Brain Sciences 7 (2):293-294.
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  • A rose is not a rose: A rival view of intelligence.Lloyd D. Humphreys - 1984 - Behavioral and Brain Sciences 7 (2):292-293.
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  • Solving Inductive Reasoning Problems in Mathematics: Not‐so‐Trivial Pursuit.Lisa A. Haverty, Kenneth R. Koedinger, David Klahr & Martha W. Alibali - 2000 - Cognitive Science 24 (2):249-298.
    This study investigated the cognitive processes involved in inductive reasoning. Sixteen undergraduates solved quadratic function–finding problems and provided concurrent verbal protocols. Three fundamental areas of inductive activity were identified: Data Gathering, Pattern Finding, and Hypothesis Generation. These activities are evident in three different strategies that they used to successfully find functions. In all three strategies, Pattern Finding played a critical role not previously identified in the literature. In the most common strategy, called the Pursuit strategy, participants created new quantities from (...)
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  • Global relations versus object relations in visual analogies.Amin Hashemi & Elisabet Tubau - forthcoming - Thinking and Reasoning.
    Based on the distinction between global and local levels of visual perception, here we studied different levels of reasoning in visual analogies. Specifically, we created problems that could be solved by inferring relations either between the global shapes (global path) or the underlying objects (object path). The problems varied in the saliency of the global shape, in the colour and familiarity of the objects, and in the presentation of the visual problem (simultaneous or sequential). The results of three studies showed (...)
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  • Science, Pseudo-Science, and Society.Marsha P. Hanen, Margaret J. Osler & Robert G. Weyant (eds.) - 1980 - Waterloo, Ont.: Published for the Calgary Institute for the Humanities by Wilfrid Laurier University Press.
    INTRODUCTORY REMARKS It is my lot, if not my duty, in presenting these opening remarks at our conference, to take the title of our meeting seriously. ...
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  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Still no solution to non-verbal measures of analogical reasoning: Reply to Walker and Gopnik (2017).G. C. Glorioso, S. L. Kuznar, M. Pavlic & D. J. Povinelli - 2021 - Cognition 214 (C):104288.
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  • Finding the right tools for the task: An intelligent approach to the study of intelligence.Martin E. Ford - 1984 - Behavioral and Brain Sciences 7 (2):291-292.
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  • Intelligence versus behaviour.H. J. Eysenck - 1984 - Behavioral and Brain Sciences 7 (2):290-291.
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  • Intelligent dissension among the Archói is good for the people.Judith Economos - 1984 - Behavioral and Brain Sciences 7 (2):290-290.
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  • Generating distant analogies facilitates relational integration: Intermediary role of relational mindset and cognitive load.Xuesong Du & Pei Sun - 2022 - Frontiers in Psychology 13.
    Relational integration is essential for learning, working, and living, as we must encode enormous volumes of information and extract their relations to construct knowledge about the environment. Recent research hints that generating distant analogies can temporarily facilitate learners’ state-based relational integration. This study aimed to investigate the internal mechanism underlying the facilitation effect and preliminarily confirm its application in education. First, we adopted the classical n-term premise integration task and the Latin Square Task to explore the robustness of the facilitation (...)
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  • Developing structured representations.Leonidas A. A. Doumas & Lindsey E. Richland - 2008 - Behavioral and Brain Sciences 31 (4):384-385.
    Leech et al.'s model proposes representing relations as primed transformations rather than as structured representations (explicit representations of relations and their roles dynamically bound to fillers). However, this renders the model unable to explain several developmental trends (including relational integration and all changes not attributable to growth in relational knowledge). We suggest looking to an alternative computational model that learns structured representations from examples.
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  • To What Extent Is General Intelligence Relevant to Causal Reasoning? A Developmental Study.Selma Dündar-Coecke - 2022 - Frontiers in Psychology 13:692552.
    To what extent general intelligence mechanisms are associated with causal thinking is unclear. There has been little work done experimentally to determine which developing cognitive capacities help to integrate causal knowledge into explicit systems. To investigate this neglected aspect of development, 138 children aged 5–11 studying at mainstream primary schools completed a battery of three intelligence tests: one investigating verbal ability (WASI vocabulary), another looking at verbal analogical (Verbal Analogies subset of the WRIT), and a third assessing non-verbal/fluid reasoning (WASI (...)
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  • Understand cognitive components before postulating metacomponents, etc., part 2.Douglas K. Detterman - 1984 - Behavioral and Brain Sciences 7 (2):289-290.
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  • An Overview of Models for Response Times and Processes in Cognitive Tests.Paul De Boeck & Minjeong Jeon - 2019 - Frontiers in Psychology 10.
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  • Task decomposition: a framework for comparing diverse training models in human brain plasticity studies.Emily B. J. Coffey & Sibylle C. Herholz - 2013 - Frontiers in Human Neuroscience 7.
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  • Some psychometric considerations.John B. Carroll - 1984 - Behavioral and Brain Sciences 7 (2):288-289.
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  • Inferences of cognitive abilities in Old World monkeys.F. D. Burton - 1984 - Semiotica 50 (1-2).
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  • J. M. Keynes' 'theory of evidential weight': Its relation to information processing theory and application in the general theory.Michael E. Brady - 1987 - Synthese 71 (1):37 - 59.
    The conclusions derived by Keynes in his Treatise on Probability (1921) concerning induction, analogical reasoning, expectations formation and decision making, mirror and foreshadow the main conclusions of cognitive science and psychology.The problem of weight is studied within an economic context by examining the role it played in Keynes' applied philosophy work, The General Theory (1936). Keynes' approach is then reformulated as an optimal control approach to dealing with changes in information evaluation over time. Based on this analysis the problem of (...)
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  • Cultural relativism comes in from the cold.J. W. Berry - 1984 - Behavioral and Brain Sciences 7 (2):288-288.
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  • The structure and function of spontaneous analogising in domain-based problem solving.Christopher R. Bearman, Linden J. Ball & Thomas C. Ormerod - 2007 - Thinking and Reasoning 13 (3):273 – 294.
    Laboratory-based studies of problem solving suggest that transfer of solution principles from an analogue to a target arises only minimally without the presence of directive hints. Recently, however, real-world studies indicate that experts frequently and spontaneously use analogies in domain-based problem solving. There is also some evidence that in certain circumstances domain novices can draw analogies designed to illustrate arguments. It is less clear, however, whether domain novices can invoke analogies in the sophisticated manner of experts to enable them to (...)
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