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  1. Counterintuitive Religious Ideas and Metaphoric Thinking: An Event‐Related Brain Potential Study.Sabela Fondevila, Sabrina Aristei, Werner Sommer, Laura Jiménez-Ortega, Pilar Casado & Manuel Martín-Loeches - 2016 - Cognitive Science 40 (4):972-991.
    It has been shown that counterintuitive ideas from mythological and religious texts are more acceptable than other world knowledge violations. In the present experiment we explored whether this relates to the way they are interpreted. Participants were presented with verification questions that referred to either the literal or a metaphorical meaning of the sentence previously read, in a block-wise design. Both behavioral and electrophysiological results converged. At variance to the literal interpretation of the sentences, the induced metaphorical interpretation specifically facilitated (...)
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  • 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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  • Creative Argumentation: When and Why People Commit the Metaphoric Fallacy.Francesca Ervas, Antonio Ledda, Amitash Ojha, Giuseppe Antonio Pierro & Bipin Indurkhya - 2018 - Frontiers in Psychology 9.
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  • Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics.Stephen McGregor, Kat Agres, Karolina Rataj, Matthew Purver & Geraint Wiggins - 2019 - Frontiers in Psychology 10.
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  • Well‐Hidden Regularities: Abstract Uses of in and on Retain an Aspect of Their Spatial Meaning.Anja Jamrozik & Dedre Gentner - 2015 - Cognitive Science 39 (8):1881-1911.
    Prepositions name spatial relationships. But they are also used to convey abstract, non-spatial relationships —raising the question of how the abstract uses relate to the concrete spatial uses. Despite considerable success in delineating these relationships, no general account exists for the two most frequently extended prepositions: in and on. We test the proposal that what is preserved in abstract uses of these prepositions is the relative degree of control between the located object and the reference object. Across four experiments, we (...)
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  • Mind the Metaphor! A Systematic Fallacy in Analogical Reasoning.Eugen Fischer - 2015 - Analysis 75 (1):67-77.
    Conceptual metaphors facilitate both productive and pernicious analogical reasoning. This article addresses the question: When and why does the frequently helpful use of metaphor become pernicious? By applying the most influential theoretical framework from cognitive psychology in analysing the philosophically most prominent example of pernicious metaphorical reasoning, we identify a philosophically relevant but previously undescribed fallacy in analogical reasoning with metaphors. We then outline an explanation of why even competent thinkers commit this fallacy and obtain a psychologically informed ‘debunking’ explanation (...)
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  • Embodied Concept Mapping.Fernando Marmolejo-Ramos, Omid Khatin-Zadeh, Babak Yazdani-Fazlabadi, Carlos Tirado & Eyal Sagi - 2017 - Pragmatics and Cognition 24 (2):164-185.
    Metaphors are cognitive and linguistic tools that allow reasoning. They enable the understanding of abstract domains via elements borrowed from concrete ones. The underlying mechanism in metaphorical mapping is the manipulation of concepts. This article proposes another view on what concepts are and their role in metaphor and reasoning. That is, based on current neuroscientific and behavioural evidence, it is argued that concepts are grounded in perceptual and motor experience with physical and social environments. This definition of concepts is then (...)
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  • The Role of Literal Meaning in Figurative Language Comprehension: Evidence From Masked Priming ERP.Hanna Weiland, Valentina Bambini & Petra B. Schumacher - 2014 - Frontiers in Human Neuroscience 8.
  • Analogy and Abstraction.Dedre Gentner & Christian Hoyos - 2017 - Topics in Cognitive Science 9 (3):672-693.
    A central question in human development is how young children gain knowledge so fast. We propose that analogical generalization drives much of this early learning and allows children to generate new abstractions from experience. In this paper, we review evidence for analogical generalization in both children and adults. We discuss how analogical processes interact with the child's changing knowledge base to predict the course of learning, from conservative to domain-general understanding. This line of research leads to challenges to existing assumptions (...)
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  • Extending SME to Handle Large‐Scale Cognitive Modeling.Kenneth D. Forbus, Ronald W. Ferguson, Andrew Lovett & Dedre Gentner - 2017 - Cognitive Science 41 (5):1152-1201.
    Analogy and similarity are central phenomena in human cognition, involved in processes ranging from visual perception to conceptual change. To capture this centrality requires that a model of comparison must be able to integrate with other processes and handle the size and complexity of the representations required by the tasks being modeled. This paper describes extensions to Structure-Mapping Engine since its inception in 1986 that have increased its scope of operation. We first review the basic SME algorithm, describe psychological evidence (...)
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  • Representation and Computation in Cognitive Models.Kenneth D. Forbus, Chen Liang & Irina Rabkina - 2017 - Topics in Cognitive Science 9 (3):694-718.
    One of the central issues in cognitive science is the nature of human representations. We argue that symbolic representations are essential for capturing human cognitive capabilities. We start by examining some common misconceptions found in discussions of representations and models. Next we examine evidence that symbolic representations are essential for capturing human cognitive capabilities, drawing on the analogy literature. Then we examine fundamental limitations of feature vectors and other distributed representations that, despite their recent successes on various practical problems, suggest (...)
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