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  1. “What” and “where” in spatial language and spatial cognition.Barbara Landau & Ray Jackendoff - 1993 - Behavioral and Brain Sciences 16 (2):217-238.
    Fundamental to spatial knowledge in all species are the representations underlying object recognition, object search, and navigation through space. But what sets humans apart from other species is our ability to express spatial experience through language. This target article explores the language ofobjectsandplaces, asking what geometric properties are preserved in the representations underlying object nouns and spatial prepositions in English. Evidence from these two aspects of language suggests there are significant differences in the geometric richness with which objects and places (...)
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  • (1 other version)Letting Structure Emerge: Connectionist and Dynamical Systems Approaches to Cognition.Linda B. Smith James L. McClelland, Matthew M. Botvinick, David C. Noelle, David C. Plaut, Timothy T. Rogers, Mark S. Seidenberg - 2010 - Trends in Cognitive Sciences 14 (8):348.
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  • An Introduction to Cognitive Grammar.Ronald W. Langacker - 1986 - Cognitive Science 10 (1):1-40.
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  • Deictic codes for the embodiment of cognition.Dana H. Ballard, Mary M. Hayhoe, Polly K. Pook & Rajesh P. N. Rao - 1997 - Behavioral and Brain Sciences 20 (4):723-742.
    To describe phenomena that occur at different time scales, computational models of the brain must incorporate different levels of abstraction. At time scales of approximately 1/3 of a second, orienting movements of the body play a crucial role in cognition and form a useful computational level embodiment level,” the constraints of the physical system determine the nature of cognitive operations. The key synergy is that at time scales of about 1/3 of a second, the natural sequentiality of body movements can (...)
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  • (1 other version)Minds, brains, and programs.John Searle - 1980 - Behavioral and Brain Sciences 3 (3):417-57.
    What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...)
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  • The cognitive psychological reality of image schemas and their transformations.Raymond W. Gibbs & Herbert L. Colston - 1995 - Cognitive Linguistics 6 (4):347-378.
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  • An integrated theory of language production and comprehension.Martin J. Pickering & Simon Garrod - 2013 - Behavioral and Brain Sciences 36 (4):329-347.
    Currently, production and comprehension are regarded as quite distinct in accounts of language processing. In rejecting this dichotomy, we instead assert that producing and understanding are interwoven, and that this interweaving is what enables people to predict themselves and each other. We start by noting that production and comprehension are forms of action and action perception. We then consider the evidence for interweaving in action, action perception, and joint action, and explain such evidence in terms of prediction. Specifically, we assume (...)
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  • An embodied cognitive science?Andy Clark - 1999 - Trends in Cognitive Sciences 3 (9):345-351.
    The last ten years have seen an increasing interest, within cognitive science, in issues concerning the physical body, the local environment, and the complex interplay between neural systems and the wider world in which they function. --œPhysically embodied, environmentally embedded--� approaches thus loom large on the contemporary cognitive scientific scene. Yet many unanswered questions remain, and the shape of a genuinely embodied, embedded science of the mind is still unclear. I begin by sketching a few examples of the approach, and (...)
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  • (1 other version)Moving Word Learning to a Novel Space: A Dynamic Systems View of Referent Selection and Retention.Larissa K. Samuelson, Sarah C. Kucker & John P. Spencer - 2017 - Cognitive Science 41 (S1):52-72.
    Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in‐the‐moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent selection (...)
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  • (1 other version)Moving Word Learning to a Novel Space: A Dynamic Systems View of Referent Selection and Retention.K. Samuelson Larissa, C. Kucker Sarah & P. Spencer John - 2016 - Cognitive Science 40 (7):52-72.
    Theories of cognitive development must address both the issue of how children bring their knowledge to bear on behavior in-the-moment, and how knowledge changes over time. We argue that seeking answers to these questions requires an appreciation of the dynamic nature of the developing system in its full, reciprocal complexity. We illustrate this dynamic complexity with results from two lines of research on early word learning. The first demonstrates how the child's active engagement with objects and people supports referent selection (...)
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  • Dynamic binding in a neural network for shape recognition.John E. Hummel & Irving Biederman - 1992 - Psychological Review 99 (3):480-517.
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  • Flexible visual processing of spatial relationships.Steven L. Franconeri, Jason M. Scimeca, Jessica C. Roth, Sarah A. Helseth & Lauren E. Kahn - 2012 - Cognition 122 (2):210-227.
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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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  • Tensor product variable binding and the representation of symbolic structures in connectionist systems.Paul Smolensky - 1990 - Artificial Intelligence 46 (1-2):159-216.
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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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  • Learning to talk about events from narrated video in a construction grammar framework.Dominey Peter Ford & Jean-David Boucher - 2005 - Artificial Intelligence 167 (1-2):31-61.
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  • (1 other version)Letting structure emerge: connectionist and dynamical systems approaches to cognition.James L. McClelland, Matthew M. Botvinick, David C. Noelle, David C. Plaut, Timothy T. Rogers, Mark S. Seidenberg & Linda B. Smith - 2010 - Trends in Cognitive Sciences 14 (8):348-356.
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  • A Neural Dynamic Model of the Perceptual Grounding of Spatial and Movement Relations.Mathis Richter, Jonas Lins & Gregor Schöner - 2021 - Cognitive Science 45 (10):e13045.
    How does the human brain link relational concepts to perceptual experience? For example, a speaker may say “the cup to the left of the computer” to direct the listener's attention to one of two cups on a desk. We provide a neural dynamic account for both perceptual grounding, in which relational concepts enable the attentional selection of objects in the visual array, and for the generation of descriptions of the visual array using relational concepts. In the model, activation in neural (...)
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  • A model of the human capacity for categorizing spatial relations.Terry Regier - 1995 - Cognitive Linguistics 6 (1):63-88.
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  • Cued by What We See and Hear: Spatial Reference Frame Use in Language.Kenny R. Coventry, Elena Andonova, Thora Tenbrink, Harmen B. Gudde & Paul E. Engelhardt - 2018 - Frontiers in Psychology 9:353401.
    To what extent is the choice of what to say driven by seemingly irrelevant cues in the visual world being described? Among such cues, how does prior description affect how we process spatial scenes? When people describe where objects are located their use of spatial language is often associated with a choice of reference frame. Two experiments employing between-participants designs ( N = 490) examined the effects of visual cueing and previous description on reference frame choice as reflected in spatial (...)
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