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  1. Spatial representations activated during real‐time comprehension of verbs.Daniel C. Richardson, Michael J. Spivey, Lawrence W. Barsalou & Ken McRae - 2003 - Cognitive Science 27 (5):767-780.
    Previous research has shown that na_ve participants display a high level of agreement when asked to choose or drawschematic representations, or image schemas, of concrete and abstract verbs [Proceedings of the 23rd Annual Meeting of the Cognitive Science Society, 2001, Erlbaum, Mawhah, NJ, p. 873]. For example, participants tended to ascribe a horizontal image schema to push, and a vertical image schema to respect. This consistency in offline data is preliminary evidence that language invokes spatial forms of representation. It also (...)
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  • -Connections of abstract description systems.Oliver Kutz, Carsten Lutz, Frank Wolter & Michael Zakharyaschev - 2004 - Artificial Intelligence 156 (1):1-73.
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  • (1 other version)The Body in the Mind: The Bodily Basis of Meaning, Imagination, and Reason.Mark Johnson - 1987 - The Personalist Forum 5 (1):58-60.
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  • Why cognitive linguistics requires embodied realism.Mark Johnson & George Lakoff - 2002 - Cognitive Linguistics 13 (3).
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  • (1 other version)Foundations of the Theory of Signs.C. H. Langford - 1938 - Journal of Symbolic Logic 3 (4):158-158.
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  • The scope and limits of simulation in automated reasoning.Ernest Davis & Gary Marcus - 2016 - Artificial Intelligence 233 (C):60-72.
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  • The brain's concepts: The role of the sensory-motor system in conceptual knowledge.Vittorio Gallese & George Lakoff - 2007 - Cognitive Neuropsychology 22 (3-4):455-479.
    Concepts are the elementary units of reason and linguistic meaning. They are conventional and relatively stable. As such, they must somehow be the result of neural activity in the brain. The questions are: Where? and How? A common philosophical position is that all concepts—even concepts about action and perception—are symbolic and abstract, and therefore must be implemented outside the brain’s sensory-motor system. We will argue against this position using (1) neuroscientific evidence; (2) results from neural computation; and (3) results about (...)
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  • Towards ontoclean 2.0: A framework for rigidity.Christopher Welty & William Andersen - 2005 - Applied ontology 1 (1):107-116.
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  • A linguistic ontology of space for natural language processing.John A. Bateman, Joana Hois, Robert Ross & Thora Tenbrink - 2010 - Artificial Intelligence 174 (14):1027-1071.
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  • Grounding spatial language in perception: an empirical and computational investigation.Terry Regier & Laura A. Carlson - 2001 - Journal of Experimental Psychology: General 130 (2):273.
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  • Semiotic schemas: A framework for grounding language in action and perception.Deb Roy - 2005 - Artificial Intelligence 167 (1-2):170-205.
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