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  1. Two analogy strategies: the cases of mind metaphors and introspection.Eugen Fischer - 2018 - Connection Science 30 (2):211-243.
    Analogical reasoning is often employed in problem-solving and metaphor interpretation. This paper submits that, as a default, analogical reasoning addressing these different tasks employs different mapping strategies: In problem-solving, it employs analogy-maximising strategies (like structure mapping, Gentner & Markman 1997); in metaphor interpretation, analogy-minimising strategies (like ATT-Meta, Barnden 2015). The two strategies interact in analogical reasoning with conceptual metaphors. This interaction leads to predictable fallacies. The paper supports these hypotheses through case-studies on ‘mind’-metaphors from ordinary discourse, and abstract problem-solving in (...)
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  • The Role of Surface Similarity in Analogical Retrieval: Bridging the Gap Between the Naturalistic and the Experimental Traditions.Máximo Trench & Ricardo A. Minervino - 2015 - Cognitive Science 39 (6):1292-1319.
    Blanchette and Dunbar have claimed that when participants are allowed to draw on their own source analogs in the service of analogical argumentation, retrieval is less constrained by surface similarity than traditional experiments suggest. In two studies, we adapted this production paradigm to control for the potentially distorting effects of analogy fabrication and uneven availability of close and distant sources in memory. Experiment 1 assessed whether participants were reminded of central episodes from popular movies while generating analogies for superficially similar (...)
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  • In defense of representation.Arthur B. Markman & Eric Dietrich - 2000 - Cognitive Psychology 40 (2):138--171.
    The computational paradigm, which has dominated psychology and artificial intelligence since the cognitive revolution, has been a source of intense debate. Recently, several cognitive scientists have argued against this paradigm, not by objecting to computation, but rather by objecting to the notion of representation. Our analysis of these objections reveals that it is not the notion of representation per se that is causing the problem, but rather specific properties of representations as they are used in various psychological theories. Our analysis (...)
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  • Analogical Episodes are More Likely to be Blended than Superficially Similar Ones.Veselina Feldman & Boicho Kokinov - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  • Dynamic Systems and Paradise Regained, or How to avoid being a calculator. [REVIEW]Eric Dietrich - 1999 - J. Of Experimental and Theoretical AI 11 (4):473-478.
    The new kid on the block in cognitive science these days is dynamic systems. This way of thinking about the mind is, as usual, radically opposed to computationalism - - the hypothesis that thinking is computing. The use of dynamic systems is just the latest in a series of attempts, from Searle's Chinese Room Argument, through the weirdnesses of postmodernism, to overthrown computationalism, which as we all know is a perfectly nice hypothesis about the mind that never hurt anyone.
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  • The Prepared Mind: The Role of Representational Change in Chance Discovery.Eric Dietrich, Arthur B. Markman & Michael Winkley - 2003 - In Yukio Ohsawa Peter McBurney (ed.), Chance Discovery by Machines. Springer-Verlag, pp. 208-230..
    Analogical reminding in humans and machines is a great source for chance discoveries because analogical reminding can produce representational change and thereby produce insights. Here, we present a new kind of representational change associated with analogical reminding called packing. We derived the algorithm in part from human data we have on packing. Here, we explain packing and its role in analogy making, and then present a computer model of packing in a micro-domain. We conclude that packing is likely used in (...)
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  • Bootstrapping the Mind: Analogical Processes and Symbol Systems.Dedre Gentner - 2010 - Cognitive Science 34 (5):752-775.
    Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
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  • Darwin's mistake: Explaining the discontinuity between human and nonhuman minds.Derek C. Penn, Keith J. Holyoak & Daniel J. Povinelli - 2008 - Behavioral and Brain Sciences 31 (2):109-130.
    Over the last quarter century, the dominant tendency in comparative cognitive psychology has been to emphasize the similarities between human and nonhuman minds and to downplay the differences as (Darwin 1871). In the present target article, we argue that Darwin was mistaken: the profound biological continuity between human and nonhuman animals masks an equally profound discontinuity between human and nonhuman minds. To wit, there is a significant discontinuity in the degree to which human and nonhuman animals are able to approximate (...)
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  • Darwin's triumph: Explaining the uniqueness of the human mind without a deus ex Machina.Derek C. Penn, Keith J. Holyoak & Daniel J. Povinelli - 2008 - Behavioral and Brain Sciences 31 (2):153-178.
    In our target article, we argued that there is a profound functional discontinuity between the cognitive abilities of modern humans and those of all other extant species. Unsurprisingly, our hypothesis elicited a wide range of responses from commentators. After responding to the commentaries, we conclude that our hypothesis lies closer to Darwin's views on the matter than to those of many of our contemporaries.
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  • What's new here?Bruce Mangan - 1999 - Behavioral and Brain Sciences 22 (1):160-161.
    O'Brien & Opie's (O&O's) theory demands a view of unconscious processing that is incompatible with virtually all current PDP models of neural activity. Relative to the alternatives, the theory is closer to an AI than a parallel distributed processing (PDP) perspective, and its treatment of phenomenology is ad hoc. It raises at least one important question: Could features of network relaxation be the “switch” that turns an unconscious into a conscious network?
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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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  • Connectionist inference models.Ron Sun - manuscript
    The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform variable binding and rule- based reasoning and whether they involve distributed or localist representations. The bene®ts and disadvantages of different representations and systems are outlined, and conclusions drawn regarding the capabilities of connectionist inference systems when compared with symbolic inference systems or when used (...)
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  • Systematic minds, unsystematic models: Learning transfer in humans and networks. [REVIEW]Steven Phillips - 1999 - Minds and Machines 9 (3):383-398.
    Minds are said to be systematic: the capacity to entertain certain thoughts confers to other related thoughts. Although an important property of human cognition, its implication for cognitive architecture has been less than clear. In part, the uncertainty is due to lack of precise accounts on the degree to which cognition is systematic. However, a recent study on learning transfer provides one clear example. This study is used here to compare transfer in humans and feedforward networks. Simulations and analysis show, (...)
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  • From simple associations to systematic reasoning: A connectionist representation of rules, variables, and dynamic binding using temporal synchrony.Lokendra Shastri & Venkat Ajjanagadde - 1993 - Behavioral and Brain Sciences 16 (3):417-51.
    Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...)
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  • A reply to Jerry Fodor on how the mind works.Steven Pinker - 2005 - Mind and Language 20 (1):33-38.
    In my book How the Mind Works, I defended the theory that the human mind is a naturally selected system of organs of computation. Jerry Fodor claims that ‘the mind doesn’t work that way’(in a book with that title) because (1) Turing Machines cannot duplicate humans’ ability to perform abduction (inference to the best explanation); (2) though a massively modular system could succeed at abduction, such a system is implausible on other grounds; and (3) evolution adds nothing to our understanding (...)
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  • Mental imagery.Nigel J. T. Thomas - 2001 - Stanford Encyclopedia of Philosophy.
    Mental imagery (varieties of which are sometimes colloquially refered to as “visualizing,” “seeing in the mind's eye,” “hearing in the head,” “imagining the feel of,” etc.) is quasi-perceptual experience; it resembles perceptual experience, but occurs in the absence of the appropriate external stimuli. It is also generally understood to bear intentionality (i.e., mental images are always images of something or other), and thereby to function as a form of mental representation. Traditionally, visual mental imagery, the most discussed variety, was thought (...)
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  • Perceptual symbol systems.Lawrence W. Barsalou - 1999 - Behavioral and Brain Sciences 22 (4):577-660.
    Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...)
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  • A phone in a basket looks like a knife in a cup: Role-filler independence in visual processing.Alon Hafri, Michael Bonner, Barbara Landau & Chaz Firestone - 2024 - Open Mind.
    When a piece of fruit is in a bowl, and the bowl is on a table, we appreciate not only the individual objects and their features, but also the relations containment and support, which abstract away from the particular objects involved. Independent representation of roles (e.g., containers vs. supporters) and “fillers” of those roles (e.g., bowls vs. cups, tables vs. chairs) is a core principle of language and higherlevel reasoning. But does such role-filler independence also arise in automatic visual processing? (...)
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  • Making good psychology out of blending theory.Raymond W. Gibbs Jr - 2001 - Cognitive Linguistics 11 (3-4):347-358.
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  • Reviving Inert Knowledge: Analogical Abstraction Supports Relational Retrieval of Past Events.Dedre Gentner, Jeffrey Loewenstein, Leigh Thompson & Kenneth D. Forbus - 2009 - Cognitive Science 33 (8):1343-1382.
    We present five experiments and simulation studies to establish late analogical abstraction as a new psychological phenomenon: Schema abstraction from analogical examples can revive otherwise inert knowledge. We find that comparing two analogous examples of negotiations at recall time promotes retrieving analogical matches stored in memory—a notoriously elusive effect. Another innovation in this research is that we show parallel effects for real‐life autobiographical memory (Experiments 1–3) and for a controlled memory set (Experiments 4 and 5). Simulation studies show that a (...)
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  • Analogical insight: toward unifying categorization and analogy.Eric Dietrich - 2010 - Cognitive Processing 11 (4):331-346.
    The purpose of this paper is to present two kinds of analogical representational change, both occurring early in the analogy-making process, and then, using these two kinds of change, to present a model unifying one sort of analogy-making and categorization. The proposed unification rests on three key claims: (1) a certain type of rapid representational abstraction is crucial to making the relevant analogies (this is the first kind of representational change; a computer model is presented that demonstrates this kind of (...)
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  • The Binding Problem 2.0: Beyond Perceptual Features.Xinchi Yu & Ellen Lau - 2023 - Cognitive Science 47 (2):e13244.
    The “binding problem” has been a central question in vision science for some 30 years: When encoding multiple objects or maintaining them in working memory, how are we able to represent the correspondence between a specific feature and its corresponding object correctly? In this letter we argue that the boundaries of this research program in fact extend far beyond vision, and we call for coordinated pursuit across the broader cognitive science community of this central question for cognition, which we dub (...)
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  • The Computational Origin of Representation.Steven T. Piantadosi - 2020 - Minds and Machines 31 (1):1-58.
    Each of our theories of mental representation provides some insight into how the mind works. However, these insights often seem incompatible, as the debates between symbolic, dynamical, emergentist, sub-symbolic, and grounded approaches to cognition attest. Mental representations—whatever they are—must share many features with each of our theories of representation, and yet there are few hypotheses about how a synthesis could be possible. Here, I develop a theory of the underpinnings of symbolic cognition that shows how sub-symbolic dynamics may give rise (...)
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  • Analogical Comparison Promotes Theory‐of‐Mind Development.Christian Hoyos, William S. Horton, Nina K. Simms & Dedre Gentner - 2020 - Cognitive Science 44 (9):e12891.
    Theory‐of‐mind (ToM) is an integral part of social cognition, but how it develops remains a critical question. There is evidence that children can gain insight into ToM through experience, including language training and explanatory interactions. But this still leaves open the question of how children gain these insights—what processes drive this learning? We propose that analogical comparison is a key mechanism in the development of ToM. In Experiment 1, children were shown true‐ and false‐belief scenarios and prompted to engage in (...)
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  • Reasoning About Relations.Geoffrey P. Goodwin & Philip Johnson-Laird - 2005 - Psychological Review 112 (2):468-493.
    Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a novel model-based theory of such reasoning. The theory depends on 5 principles. The structure of mental models is iconic as far as possible. The logical consequences of relations emerge from models constructed from the meanings of the relations and from knowledge. Individuals tend to construct only a single, typical model. They spontaneously develop their own strategies for relational reasoning. Regardless of strategy, the difficulty of an inference depends (...)
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  • Reuniting perception and conception.Robert Goldstone & Lawrence Barsalou - 1998 - Cognition 65 (2-3):231-262.
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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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  • Psychology in Cognitive Science: 1978–2038.Dedre Gentner - 2010 - Topics in Cognitive Science 2 (3):328-344.
    This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society and the journal began, I speculate about where (...)
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  • Structural constraints and object similarity in analogical mapping and inference.Daniel C. Krawczyk, Keith J. Holyoak & John E. Hummel - 2004 - Thinking and Reasoning 10 (1):85 – 104.
    Theories of analogical reasoning have viewed relational structure as the dominant determinant of analogical mapping and inference, while assigning lesser importance to similarity between individual objects. An experiment is reported in which these two sources of constraints on analogy are placed in competition under conditions of high relational complexity. Results demonstrate equal importance for relational structure and object similarity, both in analogical mapping and in inference generation. The human data were successfully simulated using a computational analogy model (LISA) that treats (...)
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  • Applying global workspace theory to the frame problem.Murray Shanahan & Bernard Baars - 2005 - Cognition 98 (2):157-176.
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  • How molecules matter to mental computation.Paul Thagard - 2002 - Philosophy of Science 69 (3):497-518.
    Almost all computational models of the mind and brain ignore details about neurotransmitters, hormones, and other molecules. The neglect of neurochemistry in cognitive science would be appropriate if the computational properties of brains relevant to explaining mental functioning were in fact electrical rather than chemical. But there is considerable evidence that chemical complexity really does matter to brain computation, including the role of proteins in intracellular computation, the operations of synapses and neurotransmitters, and the effects of neuromodulators such as hormones. (...)
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  • Analogical mapping across sensory modalities and evidence for a general analogy factor.Adam B. Weinberger, Natalie M. Gallagher, Griffin Colaizzi, Nathaniel Liu, Natalie Parrott, Edward Fearon, Neelam Shaikh & Adam E. Green - 2022 - Cognition 223 (C):105029.
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  • Using relations within conceptual systems to translate across conceptual systems.R. Goldstone - 2002 - Cognition 84 (3):295-320.
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  • Is scientific theory change similar to early cognitive development? Gopnik on science and childhood.Tim Fuller - 2013 - Philosophical Psychology 26 (1):109 - 128.
    (2013). Is scientific theory change similar to early cognitive development? Gopnik on science and childhood. Philosophical Psychology: Vol. 26, No. 1, pp. 109-128. doi: 10.1080/09515089.2011.625114.
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  • The impact of anxiety on analogical reasoning.Jean M. Tohill & Keith J. Holyoak - 2000 - Thinking and Reasoning 6 (1):27 – 40.
    The effect of state anxiety on analogical reasoning was investigated by examining qualitative differences in mapping performance between anxious and non-anxious individuals reasoning about pictorial analogies. The working-memory restriction theory of anxiety, coupled with theories of analogy that link complexity of mapping with working-memory capacity, predicts that high anxiety will impair the ability to find correspondences based on relations between multiple objects relative to correspondences based on overlap of attributes between individual objects. Anxiety was induced in one condition by a (...)
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  • 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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  • A dual process model for cultural differences in thought.Hiroshi Yama, Miwa Nishioka, Tomoko Horishita, Yayoi Kawasaki & Junichi Taniguchi - 2007 - Mind and Society 6 (2):143-172.
    Nisbett et al. claim that East Asians are likely to use holistic thought to solve problems, whereas Westerners use analytic thought more, and discuss the differences in the frame of the individualism/collectivism distinction. The holistic versus analytic distinction has been the greatest point of interest of dual process theories, which imply that human thinking has two sub processes. We apply a revised dual process model that proposes meme-acquired goals in both systems to explain cultural differences in thought. According to this, (...)
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  • Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology.Graeme S. Halford, William H. Wilson & Steven Phillips - 1998 - Behavioral and Brain Sciences 21 (6):803-831.
    Working memory limits are best defined in terms of the complexity of the relations that can be processed in parallel. Complexity is defined as the number of related dimensions or sources of variation. A unary relation has one argument and one source of variation; its argument can be instantiated in only one way at a time. A binary relation has two arguments, two sources of variation, and two instantiations, and so on. Dimensionality is related to the number of chunks, because (...)
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  • Episodic memory and cortico–hippocampal interactions.Lokendra Shastri - 2002 - Trends in Cognitive Sciences 6 (4):162-168.
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  • Analogical reasoning during hypothesis generation: the effects of object and domain similarities on access and transfer.Leandro E. Rivas & Máximo Trench - forthcoming - Thinking and Reasoning.
    In two experiments on analogical hypothesis generation, we factorially manipulated the presence of domain and object similarities between a base situation and a target phenomenon, and assessed their effects on the transfer of the source’s explanatory structure before and after an indication to use the base analog as a source for analogical explanations. The absence of any kind of surface similarity led to very low rates of spontaneous transfer. In both experiments, however, either kind of surface similarity sufficed to enhance (...)
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  • Grammatical dependencies shape compositional units in sentence production.Shota Momma - 2023 - Cognition 240 (C):105577.
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  • Individual Differences in Relational Learning and Analogical Reasoning: A Computational Model of Longitudinal Change.Leonidas A. A. Doumas, Robert G. Morrison & Lindsey E. Richland - 2018 - Frontiers in Psychology 9:304110.
    Children’s cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control (IC) is critical for developing both the relational representations necessary to reason and the ability to use these representations in complex problem solving. We evaluate this hypothesis using computational simulations in a model of analogical thinking, Discovery of Relations by Analogy/Learning and Inference with Schemas and (...)
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  • Representing composed meanings through temporal binding.Hugh Rabagliati, Leonidas A. A. Doumas & Douglas K. Bemis - 2017 - Cognition 162:61-72.
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  • A theory of the discovery and predication of relational concepts.Leonidas A. A. Doumas, John E. Hummel & Catherine M. Sandhofer - 2008 - Psychological Review 115 (1):1-43.
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  • Analogical transfer from interaction with a simulated physical system.Samuel B. Day & Robert L. Goldstone - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 1406--1411.
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  • What Difference Reveals About Similarity.Eyal Sagi, Dedre Gentner & Andrew Lovett - 2012 - Cognitive Science 36 (6):1019-1050.
    Detecting that two images are different is faster for highly dissimilar images than for highly similar images. Paradoxically, we showed that the reverse occurs when people are asked to describe how two images differ—that is, to state a difference between two images. Following structure-mapping theory, we propose that this disassociation arises from the multistage nature of the comparison process. Detecting that two images are different can be done in the initial (local-matching) stage, but only for pairs with low overlap; thus, (...)
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  • So how does the mind work?Steven Pinker - 2005 - Mind and Language 20 (1):1-38.
    In my book How the Mind Works, I defended the theory that the human mind is a naturally selected system of organs of computation. Jerry Fodor claims that 'the mind doesn't work that way'(in a book with that title) because (1) Turing Machines cannot duplicate humans' ability to perform abduction (inference to the best explanation); (2) though a massively modular system could succeed at abduction, such a system is implausible on other grounds; and (3) evolution adds nothing to our understanding (...)
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  • Similarity and the development of rules.Dedre Gentner & José Medina - 1998 - Cognition 65 (2-3):263-297.
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  • Three forms of binding and their neural substrates: Alternatives to temporal synchrony.R. C. O'Reilly, R. Busby & R. Soto - 2003 - In Axel Cleeremans (ed.), The Unity of Consciousness: Binding, Integration, and Dissociation. Oxford University Press. pp. 168--192.
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  • Analogies Without Commonalities? Evidence of Re-representation via Relational Category Activation.Nicolás Oberholzer, Máximo Trench, Kenneth J. Kurtz & Ricardo A. Minervino - 2018 - Frontiers in Psychology 9.
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