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  1. Integrating visual and verbal knowledge during classroom learning with computer tutors.Kirsten R. Butcher & Vincent Aleven - 2007 - In McNamara D. S. & Trafton J. G. (eds.), Proceedings of the 29th Annual Cognitive Science Society. Cognitive Science Society. pp. 137--142.
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  • Decoupling of intuitions and performance in the use of complex visual displays.Mary Hegarty, Harvey S. Smallman & Andrew T. Stull - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 881--886.
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  • Formats of representation in scientific theorizing.Marion Vorms - 2011 - In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. New York: Routledge. pp. 250-273.
    This paper is intended to sketch the definition of a methodological tool -- the notion of a format of representation -- for the study of scientific theorising. One of its main assumption is that a philosophical study of theorising needs to pay attention to other types of units of analysis than the traditional ones, namely, theories and models approached in a logical and structural way, since scientific reasoning is always led on concrete representational devices and depends upon their specific properties. (...)
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  • Representations in distributed cognitive tasks.Jianhui Zhang & Donald A. Norman - 1994 - Cognitive Science 18 (1):87-122.
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  • ‘Chasing’ the diagram—the use of visualizations in algebraic reasoning.Silvia de Toffoli - 2017 - Review of Symbolic Logic 10 (1):158-186.
    The aim of this article is to investigate the roles of commutative diagrams (CDs) in a specific mathematical domain, and to unveil the reasons underlying their effectiveness as a mathematical notation; this will be done through a case study. It will be shown that CDs do not depict spatial relations, but represent mathematical structures. CDs will be interpreted as a hybrid notation that goes beyond the traditional bipartition of mathematical representations into diagrammatic and linguistic. It will be argued that one (...)
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  • Applications in Education and Training: A Force Behind the Development of Cognitive Science.Susan E. F. Chipman - 2010 - Topics in Cognitive Science 2 (3):386-397.
    This paper reviews 30 years of progress in U.S. cognitive science research related to education and training, as seen from the perspective of a research manager who was personally involved in many of these developments.
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  • Relational learning re-examined.Chris Thornton & Andy Clark - 1997 - Behavioral and Brain Sciences 20 (1):83-83.
    We argue that existing learning algorithms are often poorly equipped to solve problems involving a certain type of important and widespread regularity that we call “type-2 regularity.” The solution in these cases is to trade achieved representation against computational search. We investigate several ways in which such a trade-off may be pursued including simple incremental learning, modular connectionism, and the developmental hypothesis of “representational redescription.”.
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  • Reliability of mathematical inference.Jeremy Avigad - 2020 - Synthese 198 (8):7377-7399.
    Of all the demands that mathematics imposes on its practitioners, one of the most fundamental is that proofs ought to be correct. It has been common since the turn of the twentieth century to take correctness to be underwritten by the existence of formal derivations in a suitable axiomatic foundation, but then it is hard to see how this normative standard can be met, given the differences between informal proofs and formal derivations, and given the inherent fragility and complexity of (...)
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  • Augmenting Cognitive Architectures to Support Diagrammatic Imagination.Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup & Omkar Lele - 2011 - Topics in Cognitive Science 3 (4):760-777.
    Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when diagrams are external, not to mention when there are no external representations, problem solving often calls for internal representations, that is, representations in cognition, of diagrammatic elements and internal perceptions on them. General cognitive architectures—Soar and ACT-R, to name the most prominent—do not have representations and operations to support diagrammatic reasoning. In this article, we examine some requirements for such internal representations and processes in cognitive (...)
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  • Redescubriendo la lógica diagramática de Leibniz.J. Martín Castro Manzano - 2016 - Tópicos: Revista de Filosofía 52:89-116.
    En este artículo recuperamos la lógica diagramática lineal de Leibniz para la silogística y descubrimos sus propiedades lógicas y computacionales a través de una aproximación formal en términos metalógicos, lo cual es algo que, hasta donde sabemos, aún falta por hacerse. Así, en esta contribución buscamos, respectivamente, dos metas, una histórica y una lógica: i) prestar más atención a los aspectos algorítmicos del sistema diagramático lineal de Leibniz para la silogística, de los cuales creemos que han sido desdeñados por un (...)
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  • Indispensability and Effectiveness of Diagrams in Molecular Biology.Javier Anta - 2019 - Quaderns de Filosofia 6 (1):29-46.
    In this paper I aim to defend a twofold thesis. On one hand, I will sup-port, against Perini [7], the indispensability of diagrams when structurally complex biomolecules are concerned, since it is not possible to satisfactorily use linguistic-sentential representations at that domain. On the other hand, even when diagrams are dispensable I will defend than they will generally be more effective than other representations in encoding biomolecular knowledge, relying on Kulvicki-Shimojima’s diagrammatic effectiveness thesis. Finally, I will ground many epistemic virtues (...)
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  • Base-rate respect: From ecological rationality to dual processes.Aron K. Barbey & Steven A. Sloman - 2007 - Behavioral and Brain Sciences 30 (3):241-254.
    The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns how people make judgments under conditions of uncertainty. Another more controversial arena concerns human rationality. In this target article, we attempt to unpack the perspectives in the literature on both kinds of issues and evaluate their ability to explain existing data and their conceptual coherence. From this evaluation we conclude that the best account of the data should be framed in terms of a dual-process model of (...)
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  • External Representations Reconsidered: Against the Reification of Cognitive Extensions.Marcin Trybulec - 2017 - Avant: Trends in Interdisciplinary Studies 8 (1):229-224.
    Attempts to account for the significance of materiality for cognition should pay special attention to the vehicle in which meaning and information are embedded. Distributed cognition pays surprisingly little attention to conceptualizing the distinction between transitory and durable representations. I use the example of David Kirsh’s research to argue that the bias toward defining cognitive extensions in terms of stable objects existing in space leads to their reification. The aim of this paper is to indicate the sources of reification and (...)
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  • Predictors of success in diagrammatic problem solving.Daesub Yoon & N. Hari Narayanan - 2004 - In A. Blackwell, K. Marriott & A. Shimojima (eds.), Diagrammatic Representation and Inference. Springer. pp. 301--315.
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  • The Nature of External Representations in Problem Solving.Jiajie Zhang - 1997 - Cognitive Science 21 (2):179-217.
    This article proposes a theoretical framework for external representation based problem solving. The Tic‐Tac‐Toe and its isomorphs are used to illustrate the procedures of the framework as a methodology and test the predictions of the framework as a functional model. Experimental results show that the behavior in the Tic‐Tac‐Toe is determined by the directly available information in external and internal representations in terms of perceptual and cognitive biases, regardless of whether the biases are consistent with, inconsistent with, or irrelevant to (...)
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  • How to improve Bayesian reasoning without instruction: Frequency formats.Gerd Gigerenzer & Ulrich Hoffrage - 1995 - Psychological Review 102 (4):684-704.
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  • Expert interpretation of bar and line graphs: the role of graphicacy in reducing the effect of graph format.David Peebles & Nadia Ali - 2015 - Frontiers in Psychology 6.
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  • Diagrammatic Cognition: Discovery and Design.William Bechtel - unknown - Cognitive Science 3:446-474.
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  • The role of representation in bayesian reasoning: Correcting common misconceptions.Gerd Gigerenzer & Ulrich Hoffrage - 2007 - Behavioral and Brain Sciences 30 (3):264-267.
    The terms nested sets, partitive frequencies, inside-outside view, and dual processes add little but confusion to our original analysis (Gigerenzer & Hoffrage 1995; 1999). The idea of nested set was introduced because of an oversight; it simply rephrases two of our equations. Representation in terms of chances, in contrast, is a novel contribution yet consistent with our computational analysis System 1.dual process theory” is: Unless the two processes are defined, this distinction can account post hoc for almost everything. In contrast, (...)
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  • Expert memory: a comparison of four theories.Fernand Gobet - 1998 - Cognition 66 (2):115-152.
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  • Methods of Conceptual Change in Science: Imagistic and Analogical Reasoning.Nancy Nersessian - 1990 - Philosophica 45.
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  • The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior.Wayne D. Gray, Chris R. Sims, Wai-Tat Fu & Michael J. Schoelles - 2006 - Psychological Review 113 (3):461-482.
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  • Inferential and expressive capacities of graphical representations: Survey and some generalizations.Atsushi Shimojima - 2004 - In A. Blackwell, K. Marriott & A. Shimojima (eds.), Diagrammatic Representation and Inference. Springer. pp. 18--21.
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  • What Makes an Effective Representation of Information: A Formal Account of Observational Advantages.Gem Stapleton, Mateja Jamnik & Atsushi Shimojima - 2017 - Journal of Logic, Language and Information 26 (2):143-177.
    In order to effectively communicate information, the choice of representation is important. Ideally, a chosen representation will aid readers in making desired inferences. In this paper, we develop the theory of observation: what it means for one statement to be observable from another. Using observability, we give a formal characterization of the observational advantages of one representation of information over another. By considering observational advantages, people will be able to make better informed choices of representations of information. To demonstrate the (...)
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