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Visual routines

Cognition 18 (1-3):97-159 (1984)

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  1. Counterexample Search in Diagram‐Based Geometric Reasoning.Yacin Hamami, John Mumma & Marie Amalric - 2021 - Cognitive Science 45 (4):e12959.
    Topological relations such as inside, outside, or intersection are ubiquitous to our spatial thinking. Here, we examined how people reason deductively with topological relations between points, lines, and circles in geometric diagrams. We hypothesized in particular that a counterexample search generally underlies this type of reasoning. We first verified that educated adults without specific math training were able to produce correct diagrammatic representations contained in the premisses of an inference. Our first experiment then revealed that subjects who correctly judged an (...)
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  • BoltzCONS: Dynamic symbol structures in a connectionist network.David S. Touretzky - 1990 - Artificial Intelligence 46 (1-2):5-46.
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  • Qualitative spatial reasoning: The CLOCK project.Kenneth D. Forbus, Paul Nielsen & Boi Faltings - 1991 - Artificial Intelligence 51 (1-3):417-471.
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  • Reinforcement learning of non-Markov decision processes.Steven D. Whitehead & Long-Ji Lin - 1995 - Artificial Intelligence 73 (1-2):271-306.
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  • A theory of eye movements during target acquisition.Gregory J. Zelinsky - 2008 - Psychological Review 115 (4):787-835.
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  • Preattentive recovery of three-dimensional orientation from line drawings.James T. Enns & Ronald A. Rensink - 1991 - Psychological Review 98 (3):335-351.
    It has generally been assumed that rapid visual search is based on simple features and that spatial relations between features are irrelevant for this task. Seven experiments involving search for line drawings contradict this assumption; a major determinant of search is the presence of line junctions. Arrow- and Y-junctions were detected rapidly in isolation and when they were embedded in drawings of rectangular polyhedra. Search for T-junctions was considerably slower. Drawings containing T-junctions often gave rise to very slow search even (...)
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  • Limits to the usability of iconic memory.Ronald A. Rensink - 2014 - Frontiers in Psychology 5.
    Human vision briefly retains a trace of a stimulus after it disappears. This trace—iconic memory—is often believed to be a surrogate for the original stimulus, a representational structure that can be used as if the original stimulus were still present. To investigate its nature, a flicker-search paradigm was developed that relied upon a full scan (rather than partial report) of its contents. Results show that for visual search it can indeed act as a surrogate, with little cost for alternating between (...)
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  • Indexing the World? Visual Tracking, Modularity, and the Perception–Cognition Interface.Santiago Echeverri - 2016 - British Journal for the Philosophy of Science 67 (1):215-245.
    Research in vision science, developmental psychology, and the foundations of cognitive science has led some theorists to posit referential mechanisms similar to indices. This hypothesis has been framed within a Fodorian conception of the early vision module. The article shows that this conception is mistaken, for it cannot handle the ‘interface problem’—roughly, how indexing mechanisms relate to higher cognition and conceptual thought. As a result, I reject the inaccessibility of early vision to higher cognition and make some constructive remarks on (...)
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  • Do six-month-old infants perceive causality?Alan M. Leslie & Stephanie Keeble - 1987 - Cognition 25 (3):265-288.
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  • Images and inference.Robert K. Lindsay - 1988 - Cognition 29 (3):229-250.
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  • Repetition blindness between visually different items: the case of pictures and words.Daphne Bavelier - 1994 - Cognition 51 (3):199-236.
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  • Complexity is complicated.Paul R. Kube - 1990 - Behavioral and Brain Sciences 13 (3):450-451.
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  • The essential opacity of modular systems: Why even connectionism cannot give complete formal accounts of cognition.Marten J. den Uyl - 1988 - Behavioral and Brain Sciences 11 (1):56-57.
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  • A two-dimensional array of models of cognitive function.Gardner C. Quarton - 1988 - Behavioral and Brain Sciences 11 (1):48-48.
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  • Express saccade – really a specific type of saccade?Martin Jüttner & Werner Wolf - 1993 - Behavioral and Brain Sciences 16 (3):582-583.
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  • Varieties of numerical abilities.Stanislas Dehaene - 1992 - Cognition 44 (1-2):1-42.
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  • The multidimensional spectrum of imagination: Images, Dreams, Hallucinations, and Active, Imaginative Perception.Nigel J. T. Thomas - 2014 - Humanities 3 (2):132-184.
    A theory of the structure and cognitive function of the human imagination that attempts to do justice to traditional intuitions about its psychological centrality is developed, largely through a detailed critique of the theory propounded by Colin McGinn. Like McGinn, I eschew the highly deflationary views of imagination, common amongst analytical philosophers, that treat it either as a conceptually incoherent notion, or as psychologically trivial. However, McGinn fails to develop his alternative account satisfactorily because (following Reid, Wittgenstein and Sartre) he (...)
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • Mental imagery: In search of a theory.Zenon W. Pylyshyn - 2002 - Behavioral and Brain Sciences 25 (2):157-182.
    It is generally accepted that there is something special about reasoning by using mental images. The question of how it is special, however, has never been satisfactorily spelled out, despite more than thirty years of research in the post-behaviorist tradition. This article considers some of the general motivation for the assumption that entertaining mental images involves inspecting a picture-like object. It sets out a distinction between phenomena attributable to the nature of mind to what is called the cognitive architecture, and (...)
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  • On distinguishing epistemic from pragmatic action.David Kirsh & Paul Maglio - 1994 - Cognitive Science 18 (4):513-49.
    We present data and argument to show that in Tetris - a real-time interactive video game - certain cognitive and perceptual problems are more quickly, easily, and reliably solved by performing actions in the world rather than by performing computational actions in the head alone. We have found that some translations and rotations are best understood as using the world to improve cognition. These actions are not used to implement a plan, or to implement a reaction; they are used to (...)
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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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  • The CODE theory of visual attention: An integration of space-based and object-based attention.Gordon D. Logan - 1996 - Psychological Review 103 (4):603-649.
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  • Recognition-by-components: A theory of human image understanding.Irving Biederman - 1987 - Psychological Review 94 (2):115-147.
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  • Visual cognition: An introduction.Steven Pinker - 1984 - Cognition 18 (1-3):1-63.
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  • Attention-based visual routines: sprites.Patrick Cavanagh, Angela T. Labianca & Ian M. Thornton - 2001 - Cognition 80 (1-2):47-60.
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  • Some important constraints on complexity.Leonard Uhr - 1990 - Behavioral and Brain Sciences 13 (3):455-456.
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  • Complexity, guided search, and the data.Jeremy M. Wolfe - 1990 - Behavioral and Brain Sciences 13 (3):457-458.
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  • (1 other version)Analyzing vision at the complexity level.John K. Tsotsos - 1990 - Behavioral and Brain Sciences 13 (3):423-445.
    The general problem of visual search can be shown to be computationally intractable in a formal, complexity-theoretic sense, yet visual search is extensively involved in everyday perception, and biological systems manage to perform it remarkably well. Complexity level analysis may resolve this contradiction. Visual search can be reshaped into tractability through approximations and by optimizing the resources devoted to visual processing. Architectural constraints can be derived using the minimum cost principle to rule out a large class of potential solutions. The (...)
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  • Statistical rationality.Richard M. Golden - 1988 - Behavioral and Brain Sciences 11 (1):35-35.
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  • Connections among connections.R. J. Nelson - 1988 - Behavioral and Brain Sciences 11 (1):45-46.
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  • Visual attention may not control the occurrence of express saccades.Albrecht Werner Inhoff - 1993 - Behavioral and Brain Sciences 16 (3):580-581.
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  • Visual attention is visual, too.Talis Bachmann - 1993 - Behavioral and Brain Sciences 16 (3):569-570.
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  • Induction: Weak but essential.Thomas G. Dietterich - 1986 - Behavioral and Brain Sciences 9 (4):654-655.
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  • Eye movements in natural behavior.Mary Hayhoe & Dana Ballard - 2005 - Trends in Cognitive Sciences 9 (4):188-194.
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  • A Dynamic Context Model of Interactive Behavior.Wai-Tat Fu - 2011 - Cognitive Science 35 (5):874-904.
    A dynamic context model of interactive behavior was developed to explain results from two experiments that tested the effects of interaction costs on encoding strategies, cognitive representations, and response selection processes in a decision-making and a judgment task. The model assumes that the dynamic context defined by the mixes of internal and external representations and processes are sensitive to the interaction cost imposed by the task environment. The model predicts that changes in the dynamic context may lead to systematic biases (...)
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  • The development of features in object concepts.Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut - 1998 - Behavioral and Brain Sciences 21 (1):1-17.
    According to one productive and influential approach to cognition, categorization, object recognition, and higher level cognitive processes operate on a set of fixed features, which are the output of lower level perceptual processes. In many situations, however, it is the higher level cognitive process being executed that influences the lower level features that are created. Rather than viewing the repertoire of features as being fixed by low-level processes, we present a theory in which people create features to subserve the representation (...)
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  • What you see is what you need.Jochen Triesch, Dana Ballard, Mary Hayhoe & Brian Sullivan - 2003 - Journal of Vision 3 (1):86-94.
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  • Animate vision.Dana H. Ballard - 1991 - Artificial Intelligence 48 (1):57-86.
    Animate vision systems have gaze control mechanisms that can actively position the camera coordinate system in response to physical stimuli. Compared to passive systems, animate systems show that visual computation can be vastly less expensive when considered in the larger context of behavior. The most important visual behavior is the ability to control the direction of gaze. This allows the use of very low resolution imaging that has a high virtual resolution. Using such a system in a controlled way provides (...)
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  • Visual indexes, preconceptual objects, and situated vision.Zenon W. Pylyshyn - 2001 - Cognition 80 (1-2):127-158.
    This paper argues that a theory of situated vision, suited for the dual purposes of object recognition and the control of action, will have to provide something more than a system that constructs a conceptual representation from visual stimuli: it will also need to provide a special kind of direct (preconceptual, unmediated) connection between elements of a visual representation and certain elements in the world. Like natural language demonstratives (such as `this' or `that') this direct connection allows entities to be (...)
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  • Executive control of visual attention in dual-task situations.Gordon D. Logan & Robert D. Gordon - 2001 - Psychological Review 108 (2):393-434.
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  • The how and why of what went where in apparent motion: Modeling solutions to the motion correspondence problem.Michael R. Dawson - 1991 - Psychological Review 98 (4):569-603.
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  • Doing Without Schema Hierarchies: A Recurrent Connectionist Approach to Normal and Impaired Routine Sequential Action.Matthew Botvinick & David C. Plaut - 2004 - Psychological Review 111 (2):395-429.
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  • Components of high-level vision: A cognitive neuroscience analysis and accounts of neurological syndromes.Stephen M. Kosslyn, Rex A. Flynn, Jonathan B. Amsterdam & Gretchen Wang - 1990 - Cognition 34 (3):203-277.
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  • (1 other version)In defence of neurons.Chris Mortensen - 1988 - Behavioral and Brain Sciences 11 (1):44-45.
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  • Subsymbols aren't much good outside of a symbol-processing architecture.Alan Prince & Steven Pinker - 1988 - Behavioral and Brain Sciences 11 (1):46-47.
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  • Making the connections.Jay G. Rueckl - 1988 - Behavioral and Brain Sciences 11 (1):50-51.
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  • Express saccades: A separable population?M. G. Wenban-Smith - 1993 - Behavioral and Brain Sciences 16 (3):593-593.
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  • Transcending inductive category formation in learning.Roger C. Schank, Gregg C. Collins & Lawrence E. Hunter - 1986 - Behavioral and Brain Sciences 9 (4):639-651.
    The inductive category formation framework, an influential set of theories of learning in psychology and artificial intelligence, is deeply flawed. In this framework a set of necessary and sufficient features is taken to define a category. Such definitions are not functionally justified, are not used by people, and are not inducible by a learning system. Inductive theories depend on having access to all and only relevant features, which is not only impossible but begs a key question in learning. The crucial (...)
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  • Educating the design stance: Issues of coherence and transgression. Commentary on Bullot & Reber.Norman H. Freeman & Melissa L. Allen - forthcoming - Behavioral and Brain Sciences.
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  • The Education of Perception.Robert L. Goldstone, David H. Landy & Ji Y. Son - 2010 - Topics in Cognitive Science 2 (2):265-284.
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