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  1. A. A. (2007). Leibniz Descartes & Maine de Biran. Cognitive Science 13 (3):142.
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  2. Aulis Aarnio (forthcoming). On the Interpretation of Facts: A Justificatory Point of View in the Case of Gaps in Law. Communication and Cognition: An Interdisciplinary Quarterly Journal.
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  3. K. Abbot-Smith, S. Atran, M. Aveyard, H. Behrens, S. Benus, L. Blomert, T. Bosse, J. Cagan, A. Cangelosi & L. Connell (2006). Copyright© 2006 Cognitive Science Society, Inc. All Rights Reserved. Cognitive Science 30:1127.
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  4. Kirsten Abbot‐Smith & Heike Behrens (2006). How Known Constructions Influence the Acquisition of Other Constructions: The German Passive and Future Constructions. Cognitive Science 30 (6):995-1026.
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  5. Hervé Abdi, Fred Adams, Shaaron Ainsworth, Erik Altmann, Richard Aslin, Robert Aunger, Jerry Balakrishnan, Dana Ballard, Sieghard Beller & Iris Berent (2004). Acknowledgment: Guest Reviewers. Cognitive Science 28:1041-1043.
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  6. Farzaneh Abdollahi (2009). Computational Intelligence Part II Lecture 1: Identification Using Neural Networks. In L. Magnani (ed.), Computational Intelligence.
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  7. Magdalena Abel & Karl-Heinz T. Bäuml (2015). Selective Memory Retrieval in Social Groups: When Silence is Golden and When It is Not. Cognition 140:40-48.
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  8. J. Abela, L. Goldfarb, O. Abouelala, N. Zahid, A. J. Abrantes, J. S. Marques, R. Acharya, C. Y. Wen, M. Aladjem & B. Lerner (1998). Master Index of Volumes 16±20. Cognition 19:1183.
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  9. Frances Abell, Michael Krams, John Ashburner, Richard Passingham, Karl Friston, Richard Frackowiak, Francesca HappeÂ, Chris Frith & Uta FrithCA (1999). Cognitive Neuroscience NeuroReport. Cognition 10 (1647):1647-1651.
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  10. Robert P. Abelson (1979). Differences Between Belief and Knowledge Systems. Cognitive Science 3 (4):355-366.
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  11. Robert P. Abelson (1968). Theories of Cognitive Consistency a Sourcebook. Rand Mcnally.
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  12. Andrew Aberdein (2013). Mathematical Wit and Mathematical Cognition. Topics in Cognitive Science 5 (2):231-250.
    The published works of scientists often conceal the cognitive processes that led to their results. Scholars of mathematical practice must therefore seek out less obvious sources. This article analyzes a widely circulated mathematical joke, comprising a list of spurious proof types. An account is proposed in terms of argumentation schemes: stereotypical patterns of reasoning, which may be accompanied by critical questions itemizing possible lines of defeat. It is argued that humor is associated with risky forms of inference, which are essential (...)
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  13. Marshall Abrams (2015). Cultural Variant Interaction in Teaching and Transmission. Behavioral and Brain Sciences 38.
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  14. Richard A. Abrams, Christopher C. Davoli, Feng Du, William H. Knapp Iii & Daniel Paull (2008). Altered Vision Near the Hands. Cognition 107 (3):1035-1047.
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  15. Mukhlis Abu-Bakar & Nick Chater (1994). Distribution and Frequency: Modeling the Effects of Speaking Rate on Category Boundaries Using a Recurrent Neural Network. In Ashwin Ram & Kurt Eiselt (eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum
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  16. Luigi Accardi, Andrei Khrennikov & Masanori Ohya (2009). Quantum Markov Model for Data From Shafir-Tversky Experiments in Cognitive Psychology. In Institute of Physics Krzysztof Stefanski (ed.), Open Systems and Information Dynamics. World Scientific Publishing Company 16--04.
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  17. Phillip L. Ackerman, Ruth Kanfer & Maynard Goff (1995). Cognitive and Noncognitive Determinants and Consequences of Complex Skill Acquisition. Journal of Experimental Psychology: Applied 1 (4):270.
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  18. Hermann Ackermann, Steffen R. Hage & Wolfram Ziegler (2014). Brain Mechanisms of Acoustic Communication in Humans and Nonhuman Primates: An Evolutionary Perspective. Behavioral and Brain Sciences:1-84.
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  19. D. H. Ackley (1985). GE Hinton, and T. J. Sejnowski," A Learning Machine for Boltzman Machines,". Cognitive Science 9:147-169.
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  20. David H. Ackley, Geoffrey E. Hinton & Terrence J. Sejnowski (1985). A Learning Algorithm for Boltzmann Machines. Cognitive Science 9 (1):147-169.
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  21. Situated Action (1993). Special Issue Of. Cognitive Science 17 (1):1-47.
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  22. S. V. Adamovich (1992). How Does the Nervous System Control the Equilibrium Trajectory? Behavioral and Brain Sciences 15 (4):704-705.
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  23. Fred Adams, Shaaron Ainsworth, Gerry Altmann, Louise Antony, Michael Arbib, Jennifer Arnold, Bruno Bara, William Bechtel, Shlomo Bentin & Benjamin Bergen (2003). Acknowledgment: Guest Reviewers. Cognitive Science 27:949-950.
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  24. Frederick Adams, Wilson Geisler, David Over, Woo-Kyoung Ahn, LouAnn Gerken, Thomas Palmeri, Kathleen Akins, Lisa Gershkoff-Stowe, David Papineau & Gerry Altmann (2002). Acknowledgment: Guest Reviewers. Cognitive Science 26:841-842.
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  25. Jack A. Adams (1954). The Effect of Pacing on the Learning of a Psychomotor Response. Journal of Experimental Psychology 47 (2):101.
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  26. Caspar Addyman & Robert M. French (2012). Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science 4 (3):332-341.
    Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models (...)
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  27. Beth Adelson (1985). Comparing Natural and Abstract Categories: A Case Study From Computer Science. Cognitive Science 9 (4):417-430.
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  28. Robert Ader & Nicholas Cohen (1986). Conditioned Responses Are Indeed Conditioned. Behavioral and Brain Sciences 9 (4):760.
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  29. E. Adi-Japha (2000). Regulation of Division of Labour Between Cognitive Systems Controlling Action. Cognition 76 (1):1-11.
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  30. K. Adolph, F. X. Alario, G. Altmann, M. Ashcraft, M. Atkinson, E. Awh, D. Baldwin, D. Balota, G. Baylis & M. Behrmann (2001). Thanks to Our Guest Reviewers of 2000. Cognition 81 (245):245-246.
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  31. Karen E. Adolph, Ludovic M. Marin & Frederic F. Fraisse (2001). Learning and Exploration: Lessons From Infants. Behavioral and Brain Sciences 24 (2):213-214.
    Based on studies with infants, we expand on Stoffregen & Bardy's explanation of perceptual motor errors, given the global array. Information pick-up from the global array is not sufficient without adequate exploratory movements and learning to support perceptually guided activity.
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  32. Ralph Adolphs (1999). Social Cognition and the Human Brain. Trends in Cognitive Sciences 3 (12):469-479.
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  33. Jes Adolphsen (1997). Problemer I Videnskab En Erkendelsesteoretisk Begrundelse for Problemorientering.
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  34. Diederik Aerts (2014). Quantum and Concept Combination, Entangled Measurements, and Prototype Theory. Topics in Cognitive Science 6 (1):129-137.
    We analyze the meaning of the violation of the marginal probability law for situations of correlation measurements where entanglement is identified. We show that for quantum theory applied to the cognitive realm such a violation does not lead to the type of problems commonly believed to occur in situations of quantum theory applied to the physical realm. We briefly situate our quantum approach for modeling concepts and their combinations with respect to the notions of “extension” and “intension” in theories of (...)
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  35. Diederik Aerts, Marek Czachor, Bart D’Hooghe & Sandro Sozzo (2007). The Pet-Fish Problem on the World-Wide Web. Cognition 2008:2009.
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  36. Diederik Aerts, Liane Gabora & Sandro Sozzo (2013). Concepts and Their Dynamics: A Quantum‐Theoretic Modeling of Human Thought. Topics in Cognitive Science 5 (4):737-772.
    We analyze different aspects of our quantum modeling approach of human concepts and, more specifically, focus on the quantum effects of contextuality, interference, entanglement, and emergence, illustrating how each of them makes its appearance in specific situations of the dynamics of human concepts and their combinations. We point out the relation of our approach, which is based on an ontology of a concept as an entity in a state changing under influence of a context, with the main traditional concept theories, (...)
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  37. Gyan C. Agarwal (1992). Movement Control Hypotheses: A Lesson From History. Behavioral and Brain Sciences 15 (4):705-706.
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  38. Gyan C. Agarwal (1991). Human Cognition is an Adaptive Process. Behavioral and Brain Sciences 14 (3):485-486.
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  39. Gyan C. Agarwal & Gerald L. Gottlieb (1986). Complexity in Control of Movements. Behavioral and Brain Sciences 9 (4):599.
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  40. Joseph Agassi (1997). The Novelty of Chomsky's Theories. In David Martel Johnson & Christina E. Erneling (eds.), The Future of the Cognitive Revolution. Oxford University Press 136--148.
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  41. Frank L. Agee & Walter C. Gogel (1967). Equidistance Judgments in the Vicinity of a Binocular Illusion. Journal of Experimental Psychology 74 (1):87-92.
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  42. John P. Aggleton (1994). Is Eichenbaum Et Al.'S Proposal Testable and How Extensive is the Hippocampal Memory System? Behavioral and Brain Sciences 17 (3):472-473.
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  43. John P. Aggleton & Malcolm W. Brown (2006). Interleaving Brain Systems for Episodic and Recognition Memory. Trends in Cognitive Sciences 10 (10):455-463.
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  44. Salvatore M. Aglioti & Mariella Pazzaglia (2011). Sounds and Scents in Action. Trends in Cognitive Sciences 15 (2):47-55.
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  45. Phil Agre, Adam Albright, Rick Alterman, Erik Altmann, Jennifer Amsterlaw, William Badecker, Renee Baillargeon, Dale Barr, Justin Barrett & Lawrence Barsalou (2006). Acknowledgment: Guest Reviewers. Cognitive Science 30:1133-1135.
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  46. Philip E. Agre (1993). The Symbolic Worldview: Reply to Vera and Simon. Cognitive Science 17 (1):61-69.
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  47. Christian Agrillo, Laura Piffer & Angelo Bisazza (2011). Number Versus Continuous Quantity in Numerosity Judgments by Fish. Cognition 119 (2):281-287.
    In quantity discrimination tasks, adults, infants and animals have been sometimes observed to process number only after all continuous variables, such as area or density, have been controlled for. This has been taken as evidence that processing number may be more cognitively demanding than processing continuous variables. We tested this hypothesis by training mosquitofish to discriminate two items from three in three different conditions. In one condition, continuous variables were controlled while numerical information was available; in another, the number was (...)
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  48. Mariela Aguilera (2016). Cartographic Systems and Non-Linguistic Inference. Philosophical Psychology 29 (3):349-364.
    It is often assumed that the capability to make inferences requires language. Against this assumption, I claim that inferential abilities do not necessarily require a language. On the contrary, certain cartographic systems could be used to explain some forms of inferences, and they are capable of warranting rational relations between contents they represent. By arguing that certain maps, as well as sentences, are adequate for inferential processes, I do not mean to neglect that there are important differences between maps and (...)
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  49. R. Aherman (1988). Adaptive Planning. Cognitive Science 12:393422.
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  50. Merav Ahissar (2007). Dyslexia and the Anchoring-Deficit Hypothesis. Trends in Cognitive Sciences 11 (11):458-465.
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