Search results for 'Categorization' (try it on Scholar)

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  1. Cornelia Zelinsky-Wibbelt (2000). Discourse and the Continuity of Reference: Representing Mental Categorization. Mouton De Gruyter.score: 18.0
    Chapter Introduction This work deals with two contrasting, but mutually interrelated capabilities of the human mind: reference and categorization. ...
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  2. Yasmina Jraissati (2013). Proving Universalism Wrong Does Not Prove Relativism Right: Considerations on the Ongoing Color Categorization Debate. Philosophical Psychology:1-24.score: 18.0
    For over a century, the question of the relation of language to thought has been extensively discussed in the case of color categorization, where two main views prevail. The relativist view claims that color categories are relative while the universalistic view argues that color categories are universal. Relativists also argue that color categories are linguistically determined, and universalists that they are perceptually determined. Recently, the argument for the perceptual determination of color categorization has been undermined, and the relativist (...)
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  3. Lena Jayyusi (1984). Categorization and the Moral Order. Routledge & K. Paul.score: 15.0
    INTRODUCTION My underlying concern in this work is with the sociological analysis and description of members' practical activities and their practical ...
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  4. Shimon Edelman & Sharon Duvdevani-Bar (1997). Similarity-Based Viewspace Interpolation and the Categorization of 3D Objects. In Proc. Edinburgh Workshop on Similarity and Categorization.score: 15.0
    Visual objects can be represented by their similarities to a small number of reference shapes or prototypes. This method yields low-dimensional (and therefore computationally tractable) representations, which support both the recognition of familiar shapes and the categorization of novel ones. In this note, we show how such representations can be used in a variety of tasks involving novel objects: viewpoint-invariant recognition, recovery of a canonical view, estimation of pose, and prediction of an arbitrary view. The unifying principle in all (...)
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  5. Eric Dietrich (2010). Analogical Insight: Toward Unifying Categorization and Analogy. Cognitive Processing 11 (4):331-.score: 12.0
    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 (...)
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  6. Stevan Harnad (2005). To Cognize is to Categorize: Cognition is Categorization. In C. Lefebvre & H. Cohen (eds.), Handbook of Categorization. Elsevier.score: 12.0
    2. Invariant Sensorimotor Features ("Affordances"). To say this is not to declare oneself a Gibsonian, whatever that means. It is merely to point out that what a sensorimotor system can do is determined by what can be extracted from its motor interactions with its sensory input. If you lack sonar sensors, then your sensorimotor system cannot do what a bat's can do, at least not without the help of instruments. Light stimulation affords color vision for those of us with the (...)
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  7. George Psathas (1999). Studying the Organization in Action: Membership Categorization and Interaction Analysis. Human Studies 22 (2-4):139-162.score: 12.0
    A current set of concerns in ethnomethodology and conversation analysis includes the question of how conversation analysis (CA) can deal with studies of social structure or studies of talk in institutional settings.In this paper a focus is placed on how the accomplishment of "work" and "categorization" are interrelated. Two particular instances are examined: a ski school and a package delivery service. Membership categorization is shown to be a complex, on-going, interactive accomplishment. The parties act in ways that are (...)
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  8. Reese M. Heitner (2004). The Cyclical Ontogeny of Ontology: An Integrated Developmental Account of Object and Speech Categorization. Philosophical Psychology 17 (1):45 – 57.score: 12.0
    More than a decade of experimental research confirms that external linguistic information provided in the form of word labels can induce a "mutually exclusive" bias against double naming and lead children to infer the name of novel objects and parts (Markman, 1989). Linguistic labels have also been shown to encourage more sophisticated reasoning, particularly with respect to superordinate and atypical object categorization (Gelman & Coley, 1990; Waxman & Markow, 1995). By contrast, however, the inverse possibility that the linguistic (...)
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  9. Eric Hauser (2011). Generalization: A Practice of Situated Categorization in Talk. Human Studies 34 (2):183-198.score: 12.0
    This paper analyzes four instances in talk of generalization about people, that is, of using statements about one or more people as the basis of stating something about a category. Generalization can be seen as a categorization practice which involves a reflexive relationship between the generalized-from person or people and the generalized-to category. One thing that is accomplished through generalization is instruction in how to understand the identity of the generalized-from person or people, so in addition to being understood (...)
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  10. Sung-Joo Lim & Lori L. Holt (2011). Learning Foreign Sounds in an Alien World: Videogame Training Improves Non-Native Speech Categorization. Cognitive Science 35 (7):1390-1405.score: 12.0
    Although speech categories are defined by multiple acoustic dimensions, some are perceptually weighted more than others and there are residual effects of native-language weightings in non-native speech perception. Recent research on nonlinguistic sound category learning suggests that the distribution characteristics of experienced sounds influence perceptual cue weights: Increasing variability across a dimension leads listeners to rely upon it less in subsequent category learning (Holt & Lotto, 2006). The present experiment investigated the implications of this among native Japanese learning English /r/-/l/ (...)
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  11. Brett K. Hayes & Bob Rehder (2012). The Development of Causal Categorization. Cognitive Science 36 (6):1102-1128.score: 12.0
    Two experiments examined the impact of causal relations between features on categorization in 5- to 6-year-old children and adults. Participants learned artificial categories containing instances with causally related features and noncausal features. They then selected the most likely category member from a series of novel test pairs. Classification patterns and logistic regression were used to diagnose the presence of independent effects of causal coherence, causal status, and relational centrality. Adult classification was driven primarily by coherence when causal links were (...)
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  12. Robert E. MacLaury (1998). Domain-Specificity in Folk Biology and Color Categorization: Modularity Versus Global Process. Behavioral and Brain Sciences 21 (4):582-583.score: 12.0
    Universal ranks in folk biological taxonomy probably apply to taxonomies of cultural artifacts. We cannot call folk biological cognition domain-specific and modular. Color categorization may manifest unique organization, which would result from known neurology and the nature of color as an attribute. But folk biology does not adduce equivalent evidence. A global process of increasing differentiation similarly affects folk taxonomy, color categorization, and other practices germane to Atran's anthropology of science; this is beclouded by claims of specificity and (...)
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  13. Gregory Ashby & Michael B. Casale (2005). Empirical Dissociations Between Rule-Based and Similarity-Based Categorization. Behavioral and Brain Sciences 28 (1):15-16.score: 12.0
    The target article postulates that rule-based and similarity-based categorization are best described by a unitary process. A number of recent empirical dissociations between rule-based and similarity-based categorization severely challenge this view. Collectively, these new results provide strong evidence that these two types of category learning are mediated by separate systems.
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  14. Soonja Choi & Kate Hattrup (2012). Relative Contribution of Perception/Cognition and Language on Spatial Categorization. Cognitive Science 36 (1):102-129.score: 12.0
    This study investigated the relative contribution of perception/cognition and language-specific semantics in nonverbal categorization of spatial relations. English and Korean speakers completed a video-based similarity judgment task involving containment, support, tight fit, and loose fit. Both perception/cognition and language served as resources for categorization, and allocation between the two depended on the target relation and the features contrasted in the choices. Whereas perceptual/cognitive salience for containment and tight-fit features guided categorization in many contexts, language-specific semantics influenced (...) where the two features competed for similarity judgment and when the target relation was tight support, a domain where spatial relations are perceptually diverse. In the latter contexts, each group categorized more in line with semantics of their language, that is, containment/support for English and tight/loose fit for Korean. We conclude that language guides spatial categorization when perception/cognition alone is not sufficient. In this way, language is an integral part of our cognitive domain of space. (shrink)
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  15. William Bechtel (1988). Studies of Categorization: A Review Essay of Neisser's 'Concepts and Conceptual Development' and Hamad's 'Categorical Perception'. Philosophical Psychology 1 (3):381-389.score: 12.0
    Concepts and Conceptual Development: Ecological and Intellectual Factors in Categorization ULRIC NEISSER, 1987 Cambridge, Cambridge University Press x+384 pp., $39.50 Categorical Perception STEVAN HARNAD, 1987 Cambridge, Cambridge University Press x+599 pp., $59.50.
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  16. Robert M. French & Elizabeth Thomas (2000). Why Localist Connectionist Models Are Inadequate for Categorization. Behavioral and Brain Sciences 23 (4):477-477.score: 12.0
    Two categorization arguments pose particular problems for localist connectionist models. The internal representations of localist networks do not reflect the variability within categories in the environment, whereas networks with distributed internal representations do reflect this essential feature of categories. We provide a real biological example of perceptual categorization in the monkey that seems to require population coding (i.e., distributed internal representations).
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  17. Bence Nanay (forthcoming). Artifact Categorization and the Modal Theory of Artifact Function. Review of Philosophy and Psychology:1-12.score: 12.0
    Philosophers and psychologists widely hold that artifact categories – just like biological categories – are individuated by their function. But recent empirical findings in psychology question this assumption. My proposal is to suggest a way of squaring these findings with the central role function should play in individuating artifact categories. But in order to do so, we need to give up on the standard account of artifact function, according to which function is fixed by design, and replace it with a (...)
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  18. Sara Dellantonio, Claudio Mulatti & Remo Job (forthcoming). Artifact and Tool Categorization. Review of Philosophy and Psychology:1-12.score: 12.0
    This study addresses the issue of artifact kinds from a psychological and cognitive perspective. The primary interest of the investigation lies in understanding how artifacts are categorized and what are the properties people rely on for their identification. According to a classical philosophical definition artifacts form an autonomous class of instances including all and only those objects that do not exist in nature, but are artificial, in the sense that they are made by an artĭfex. This definition suggests that artifacts (...)
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  19. Scott Atran, Douglas I. Medin & Norbert Ross (2002). Thinking About Biology. Modular Constraints on Categorization and Reasoning in the Everyday Life of Americans, Maya, and Scientists. Mind and Society 3 (2):31-63.score: 12.0
    This essay explores the universal cognitive bases of biological taxonomy and taxonomic inference using cross-cultural experimental work with urbanized Americans and forest-dwelling Maya Indians. A universal, essentialist appreciation of generic species appears as the causal foundation for the taxonomic arrangement of biodiversity, and for inference about the distribution of causally-related properties that underlie biodiversity. Universal folkbiological taxonomy is domain-specific: its structure does not spontaneously or invariably arise in other cognitive domains, like substances, artifacts or persons. It is plausibly an innately-determined (...)
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  20. Stefano Borgo, Noemi Spagnoletti, Laure Vieu & Elisabetta Visalberghi (forthcoming). Artifact and Artifact Categorization: Comparing Humans and Capuchin Monkeys. Review of Philosophy and Psychology:1-15.score: 12.0
    We aim to show that far-related primates like humans and the capuchin monkeys show interesting correspondences in terms of artifact characterization and categorization. We investigate this issue by using a philosophically-inspired definition of physical artifact which, developed for human artifacts, turns out to be applicable for cross-species comparison. In this approach an artifact is created when an entity is intentionally selected and some capacities attributed to it (often characterizing a purpose). Behavioral studies suggest that this notion of artifact is (...)
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  21. Evan Heit & Brett K. Hayes (2005). Illuminating Reasoning and Categorization. Behavioral and Brain Sciences 28 (1):27-27.score: 12.0
    The proposal regarding rules and similarity is considered in terms of ability to provide insights regarding previous work on reasoning and categorization. For reasoning, the issue is the relation between this proposal and one-process as well as two-process accounts of deduction and induction. For categorization, the issue is how the proposal would simultaneously explain both similarity-to-rule and rule-to-similarity shifts.
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  22. Philippe G. Schyns, Robert L. Goldstone & Jean-Pierre Thibaut (1998). Ways of Featuring in Object Categorization. Behavioral and Brain Sciences 21 (1):41-54.score: 12.0
    The origin of features from nonfeatural information is a problem that should concern all theories of object categorization and recognition, not just the flexible feature approach. In contrast to the idea that new features must originate from combinations of simpler fixed features, we argue that holistic features can be created from a direct imprinting on the visual medium. Furthermore, featural descriptions can emerge from processes that by themselves do not operate on feature detectors. Once acquired, features can be decomposed (...)
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  23. Jennifer Summerville & Barbara Adkins (2007). Enrolling the Citizen in Sustainability: Membership Categorization, Morality and Civic Participation. Human Studies 30 (4):429 - 446.score: 12.0
    This article examines the common-sense and methodical ways in which “the citizen” is produced and enrolled as an active participant in “sustainable” regional planning. Using Membership Categorization Analysis, we explicate how the categorization procedures in the Foreword of a draft regional planning policy interactionally produce the identity of “the citizen” and “civic values and obligations” in relation to geographic place and institutional categories. Furthermore, we show how positioning practices establish a relationship between authors (government) and readers (citizens) where (...)
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  24. Professor Ronaldo Vigo & Colin Allen, How to Reason Without Words: Inference as Categorization.score: 12.0
    The idea that reasoning is a singular accomplishment of the human species has an ancient pedigree.Yet this idea remains as controversial as it is ancient. Those who would deny reasoning to nonhuman animals typically hold a language-based conception of inference which places it beyond the reach of languageless creatures. Others reject such an anthropocentric conception of reasoning on the basis of similar performance by humans and animals in some reasoning tasks, such as transitive inference. Here, building on the modal similarity (...)
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  25. Peter F. Dominey (1998). Flexible Categorization Requires the Creation of Relational Features. Behavioral and Brain Sciences 21 (1):23-24.score: 12.0
    Flexible categorization clearly requires an adaptive component, but at what level of representation? We have investigated categorization in sequence learning that requires the extraction of abstract rules, but no modification of sensory primitives. This motivates the need to make explicit the distinction between sensory-level “atomic” features as opposed to concept-level “abstract” features, and the proposal that flexible categorization probably relies on learning at the abstract feature level.
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  26. Peter Eglin & Stephen Hester (1999). “You're All a Bunch of Feminists:” Categorization and the Politics of Terror in the Montreal Massacre. Human Studies 22 (2-4):253-272.score: 12.0
    Following Sacks's model membership categorization analysis (MCA) of a suicidal person's conclusion 'I have no one to turn to,' the paper examines in MCA terms a political actor's twin conclusions that murder-suicide is a rational course of action. The case in question is the killer's reasoning in the Montreal Massacre as revealed in his reported announcement at the scene (notably 'You're all a bunch of feminists. I hate feminists') and recovered suicide letter (for example, 'For why persevere to exist (...)
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  27. Martin Jüttner (1998). Representation of Similarities – a Psychometric but Not an Explanatory Concept for Categorization. Behavioral and Brain Sciences 21 (4):475-476.score: 12.0
    The representation of similarities is a viable concept for a cognitive extension of visual psychophysics to the recognition of shapes, bringing issues such as similarity and categorization back into that field. However, as a framework it appears too general to place constraints on a particular process model for categorization. In particular, a preference for Chorus-like schemes with respect to structure-oriented approaches is unwarranted.
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  28. Frank Alvarez-Pereyre (ed.) (2008). Catégories Et Catégorisation: Une Perspective Interdisciplinaire. Peeters.score: 12.0
     
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  29. Robert N. McCauley (1986). Truth, Epistemic Ideals and the Psychology of Categorization. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:198 - 207.score: 12.0
    Recent theoretical work on the psychology of categorization emphasizes the role cognitive constructs play in perception and categorization. This approach supports Putnam's rejection of metaphysical realism. However, the experimental findings concerning basic level categories, in particular, suggest that robust stabilitites among our systems of empirical concepts persist in the face of considerable theoretical diversity and change. These stabilities undermine Putnam's strongest negative conclusions concerning the correspondence theory of truth (once it is uncoupled from metaphysical realism). The centrality of (...)
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  30. Stephen Laurence & Eric Margolis (2003). Concepts and Conceptual Analysis. Philosophy and Phenomenological Research 67 (2):253-282.score: 9.0
    Conceptual analysis is undergoing a revival in philosophy, and much of the credit goes to Frank Jackson. Jackson argues that conceptual analysis is needed as an integral component of so-called serious metaphysics and that it also does explanatory work in accounting for such phenomena as categorization, meaning change, communication, and linguistic understanding. He even goes so far as to argue that opponents of concep- tual analysis are implicitly committed to it in practice. We show that he is wrong on (...)
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  31. Bert Baumgaertner (2012). Vagueness Intuitions and the Mobility of Cognitive Sortals. Minds and Machines 22 (3):213-234.score: 9.0
    One feature of vague predicates is that, as far as appearances go, they lack sharp application boundaries. I argue that we would not be able to locate boundaries even if vague predicates had sharp boundaries. I do so by developing an idealized cognitive model of a categorization faculty which has mobile and dynamic sortals (`classes', `concepts' or `categories') and formally prove that the degree of precision with which boundaries of such sortals can be located is inversely constrained by their (...)
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  32. Edward E. Smith (1989). Three Distinctions About Concepts and Categorization. Mind and Language 4 (1-2):57-61.score: 9.0
  33. Yasmina Jraissati (forthcoming). Categorical Perception of Color: Assessing the Role of Language. Croatian Journal of Philosophy.score: 9.0
    Why do we draw the boundaries between “blue” and “green”, where we do? One proposed answer to this question is that we categorize color the way we do because we perceive color categorically. Starting in the 1950’s, the phenomenon of “categorical perception” (CP) encouraged such a response. CP refers to the fact that adjacent color patches are more easily discriminated when they straddle a category boundary than when they belong to the same category. In this paper, I make three related (...)
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  34. Mary Douglas (1986). Book Review:Categorization and the Moral Order. Lena Jayyusi. [REVIEW] Ethics 96 (3):633-.score: 9.0
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  35. Nick Braisby & Bradley Franks (1997). Semantics Versus Pragmatics in Colour Categorization. Behavioral and Brain Sciences 20 (2):181-182.score: 9.0
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  36. B. A. C. Saunders & J. van Brakel (1997). Are There Nontrivial Constraints on Colour Categorization? Behavioral and Brain Sciences 20 (2):167-179.score: 9.0
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  37. L. M. De Rijk (1988). 'Categorization' as a Key Notion in Ancient and Medieval Semantics. Vivarium 26 (1):1-18.score: 9.0
  38. Stephen Vider (2004). Rethinking Crowd Violence: Self-Categorization Theory and the Woodstock 1999 Riot. Journal for the Theory of Social Behaviour 34 (2):141–166.score: 9.0
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  39. Filip Van Opstal, Bert Reynvoet & Tom Verguts (2005). Unconscious Semantic Categorization and Mask Interactions: An Elaborate Response to Kunde Et Al. (2005). Cognition 97 (1):107-113.score: 9.0
  40. Evan Heit & Stephen P. Nicholson (2010). The Opposite of Republican: Polarization and Political Categorization. Cognitive Science 34 (8):1503-1516.score: 9.0
    Two experiments examined the typicality structure of contrasting political categories. In Experiment 1, two separate groups of participants rated the typicality of 15 individuals, including political figures and media personalities, with respect to the categories Democrat or Republican. The relation between the two sets of ratings was negative, linear, and extremely strong, r = −.9957. Essentially, one category was treated as a mirror image of the other. Experiment 2 replicated this result, showing some boundary conditions, and extending the result to (...)
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  41. Jane Duran (2006). Yoruba Work and Art Categorization. Philosophia Africana 9 (1):35-40.score: 9.0
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  42. Pierre Poirier, Embodied Categorization.score: 9.0
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  43. Maria T. Wowk & Andrew P. Carlin (2004). Depicting a Liminal Position in Ethnomethodology, Conversation Analysis and Membership Categorization Analysis: The Work of Rod Watson. Human Studies 27 (1):69-89.score: 9.0
    This paper provides a provisional examination of Rod Watson''s work and contributions to EM/CA/MCA, in part through a critique of misrepresentations of his arguments in secondary accounts of his work. The form of these misrepresentations includes adumbration and traducement of his arguments. Focusing on the reflexivity of category and sequence and turn-generated categories, we suggest that his analytic position within ethnomethodological fields is unique and remarkable, yet largely unacknowledged. We argue that a re-examination of the body of Watson''s (...)
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  44. Don Dedrick (1997). Colour Categorization and the Space Between Perception and Language. 20 (2):187-188.score: 9.0
    We need to reconsider and reconceive the path that will take us from innate perceptual saliencies to basic (and perhaps other) colour language. There is a space between the perceptual and the linguistic levels that needs to be filled by an account of the rules that people use to generate relatively stable reference classes in a social context.
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  45. Paul Thagard & Ethan Toombs, Atoms, Categorization and Conceptual Change.score: 9.0
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  46. Theresa Libby & Linda Thorne (2004). The Identification and Categorization of Auditors' Virtues. Business Ethics Quarterly 14 (3):479-498.score: 9.0
    In this paper, we develop a typology of auditors’ virtues through in-depth interviews with nine exemplars of the audit community.We compare this typology with prescribed auditors’ virtues as represented in the applicable Code of Professional Conduct. Ourcomparison shows that the Code places a primary emphasis on mandatory virtues including the virtues of “independent,” “objective,”and “principled.” While the non-mandatory virtues, which involve “going beyond the minimum” and “putting the public interest foremost,” were identified by our exemplars as essential to the auditor’s (...)
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  47. Elizabeth Spelke, Recognition and Categorization of Biologically Significant Objects by Rhesus Monkeys (Macaca Mulatta): The Domain of Food.score: 9.0
    To survive, organisms must be able to identify edible objects. However, we know relatively little about how humans and other species distinguish food items from non-food items. We tested the abilities of semi-free-ranging rhesus monkeys (Macaca mulatta) to learn rapidly that a novel object was edible, and to generalize their learning to other objects, in a spontaneous choice task. Adult monkeys watched as a human experimenter first pretended to eat one of two novel objects and then placed replicas of the (...)
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  48. Hanne Andersen (1996). Categorization, Anomalies and the Discovery of Nuclear Fission. Studies in History and Philosophy of Science Part B 27 (4):463-492.score: 9.0
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  49. C. R. (1997). Ilkka Pyysiäinen. Belief and Beyond: Religious Categorization of Reality. Pp. 177. (Abo Academis Tryckeri (Religionsvetenskapliga Skrifter Nr 33), 1996.). [REVIEW] Religious Studies 33 (2):239-241.score: 9.0
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  50. Danièle Dubois (1997). Cultural Beliefs as Nontrivial Constraints on Categorization: Evidence From Colors and Odors. Behavioral and Brain Sciences 20 (2):188-188.score: 9.0
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  51. Steven Vaitkus (1994). Review Essays : The Realist Image in Social Science, or a Realist's Categorization of Social Thinking? Derek Layder , the Realist Image in Social Science. Macmillan, London, 1990. Pp. 189. $45.00 (Cloth. [REVIEW] Philosophy of the Social Sciences 24 (1):76-83.score: 9.0
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  52. John Kingston (2000). Most but Not All Bottom-Up Interactions Between Signal Properties Improve Categorization. Behavioral and Brain Sciences 23 (3):335-336.score: 9.0
    The massive acoustic redundancy of minimally contrasting speech sounds, coupled with the auditory integration of psychoacoustically similar acoustic properties produces a highly invariant percept, which cannot be improved by top-down feedback from the lexicon. Contextual effects are also bottom-up but not all entirely auditory and may thus differ in whether they affect sensitivity or only response bias.
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  53. Philip Lewin (1994). Categorization and the Narrative Structure of Science. Philosophy and Rhetoric 27 (1):35 - 62.score: 9.0
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  54. Paul C. Quinn (2008). On the Semantics of Infant Categorization and Why Infants Perceive Horses as Humans. Behavioral and Brain Sciences 31 (6):724-726.score: 9.0
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  55. Corrado Roversi, Anna M. Borghi & Luca Tummolini (forthcoming). A Marriage is an Artefact and Not a Walk That We Take Together: An Experimental Study on the Categorization of Artefacts. Review of Philosophy and Psychology:1-16.score: 9.0
    Artefacts are usually understood in contrast with natural kinds and conceived as a unitary kind. Here we propose that there is in fact a variety of artefacts: from the more concrete to the more abstract ones. Moreover, not every artefact is able to fulfil its function thanks to its physical properties: Some artefacts, particularly what we call “institutional” artefacts, are symbolic in nature and require a system of rules to exist and to fulfil their function. Adopting a standard method to (...)
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  56. William S.-Y. Wang & Tao Gong (2005). Categorization in Artificial Agents: Guidance on Empirical Research? Behavioral and Brain Sciences 28 (4):511-512.score: 9.0
    By comparing mechanisms in nativism, empiricism, and culturalism, the target article by Steels & Belpaeme (S&B) emphasizes the influence of communicational constraint on sharing color categories. Our commentary suggests deeper considerations of some of their claims, and discusses some modifications that may help in the study of communicational constraints in both humans and robots.
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  57. M. T. H. Chi, P. J. Feltovich & R. Glaser (1981). Categorization and Representation of Physics Problems by Experts and Novices. Cognitive Science 5:121-52.score: 9.0
     
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  58. Larry Cochran (1984). On the Categorization of Traits. Journal for the Theory of Social Behaviour 14 (2):183–209.score: 9.0
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  59. H. Cohen & C. Leferbvre (eds.) (forthcoming). Categorization and Cognitive Science. Elsevier.score: 9.0
     
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  60. David Danks, Theory Unification and Graphical Models in Human Categorization.score: 9.0
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  61. Shimon Edelman & Sharon Duvdevani-Bar (1997). Proc. Edinburgh Workshop on Similarity and Categorization.score: 9.0
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  62. M. Gareth Gaskell (2000). Modeling Lexical Effects on Phonetic Categorization and Semantic Effects on Word Recognition. Behavioral and Brain Sciences 23 (3):329-330.score: 9.0
    I respond to Norris et al.'s criticism of Gaskell and Marslen- Wilson (1997). When the latter's network is tested in circumstances comparable to the Merge simulations in the target article, it produces the desired pattern of results. In another area of potential feedback in spoken word processing, aspects of lexical content influence word recognition and our network provides a simple explanation of why such effects emerge. It is unclear how such effects would be accommodated by Merge.
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  63. H. Hartl (2003). The Conceptual Inactiveness of Implicit Arguments: Evidence From Particle Verbs and Object Categorization. Journal of Semantics 20 (1):1-33.score: 9.0
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  64. Sally Hester & Stephen Hester (2012). Categorial Occasionality and Transformation: Analyzing Culture in Action. Human Studies 35 (4):563-581.score: 9.0
    Our focus in this article is on some uses of categorial transformations. The discussion is divided into two main parts. In the first part, we begin by outlining our approach, namely membership categorization analysis (MCA), indicating the origins of the term and elaborating the conception of MCA as an ‘occasioned’ members’ apparatus. We then explain what we mean by the concept of categorial transformation, review some of the very few previous studies which have investigated this phenomenon and which are (...)
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  65. Kimberly Jameson (2010). Where in the World Color Survey is the Support for the Hering Primaries as the Basis for Color Categorization? In Jonathan D. Cohen & Mohan Matthen (eds.), Color Ontology and Color Science. Mit Press.score: 9.0
     
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  66. Mauri Kaipainen & Pasi Karhu (2000). Bringing Knowing-When and Knowing-What Together: Periodically Tuned Categorization and Category-Based Timing Modeled with the Recurrent Oscillatory Self-Organizing Map (ROSOM). Minds and Machines 10 (2):203-229.score: 9.0
    The study addresses the cyclically temporal aspect of sequence recognition, storage and recall using the Recurrent Oscillatory Self-Organizing Map (ROSOM), first introduced by Kaipainen, Papadopoulos and Karhu (1997). The unique solution of the network is that oscillatory States are assigned to network units, corresponding to their `readiness-to-fire''. The ROSOM is a categorizer, a temporal sequence storage system and a periodicity detector designed for use in an ambiguous cyclically repetitive environment. As its external input, the model accepts a multidimensional stream of (...)
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  67. Ewald Lang (1990). Primary Perceptual Space and Inherent Proportion Schema: Two Interacting Categorization Grids Underlying the Conceptualization of Spatial Objects. Journal of Semantics 7 (2):121-141.score: 9.0
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  68. C. Lefebvre & H. Cohen (eds.) (2005). Handbook of Categorization. Elsevier.score: 9.0
  69. Jeff Loucks & Eric Pederson (2010). Linguistic and Non-Linguistic Categorization of Complex Motion Events. In Jürgen Bohnemeyer & Eric Pederson (eds.), Event Representation in Language and Cognition. Cambridge University Press.score: 9.0
     
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  70. Ilkka Pyysiäinen (1996). Belief and Beyond: Religious Categorization of Reality. Åbo Akademi.score: 9.0
     
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  71. Benjamin M. Rottman, Dedre Gentner & Micah B. Goldwater (2012). Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena. Cognitive Science 36 (5):919-932.score: 9.0
    We investigated the understanding of causal systems categories—categories defined by common causal structure rather than by common domain content—among college students. We asked students who were either novices or experts in the physical sciences to sort descriptions of real-world phenomena that varied in their causal structure (e.g., negative feedback vs. causal chain) and in their content domain (e.g., economics vs. biology). Our hypothesis was that there would be a shift from domain-based sorting to causal sorting with increasing expertise in the (...)
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  72. Manish Singh & Barbara Landau (1998). Parts of Visual Shape as Primitives for Categorization. Behavioral and Brain Sciences 21 (1):36-37.score: 9.0
    Converging psychophysical evidence suggests that the human visual system parses shapes into component parts for the purposes of object recognition. We examine the Schyns et al. claim of “creation” of features in light of recent work on part-based representations of visual shape, particularly the perceptual rules that human vision uses to parse shapes.
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  73. Skipper (1994). Object Categorization in Gofai Knowledge Representation. Southwest Philosophy Review 10 (2):69-83.score: 9.0
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  74. Kim Sterelny (1992). Linguistic Categorization. The Review of Metaphysics 45 (4):884-885.score: 9.0
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  75. John S. Werner & Michelle L. Bieber (1997). Hue Opponency: A Constraint on Colour Categorization Known From Experience and Experiment. Behavioral and Brain Sciences 20 (2):210-211.score: 9.0
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  76. Robert C. Whittemore (1978). The Proper Categorization of Plato's Demiurgos. Tulane Studies in Philosophy 27:163-166.score: 9.0
  77. Andreas Glöckner & Cilia Witteman (2010). Beyond Dual-Process Models: A Categorisation of Processes Underlying Intuitive Judgement and Decision Making. Thinking and Reasoning 16 (1):1 – 25.score: 8.0
    Intuitive-automatic processes are crucial for making judgements and decisions. The fascinating complexity of these processes has attracted many decision researchers, prompting them to start investigating intuition empirically and to develop numerous models. Dual-process models assume a clear distinction between intuitive and deliberate processes but provide no further differentiation within both categories. We go beyond these models and argue that intuition is not a homogeneous concept, but a label used for different cognitive mechanisms. We suggest that these mechanisms have to be (...)
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  78. Emmanuel M. Pothos, Ulrike Hahn & Mercè Prat-Sala (2010). Contingent Necessity Versus Logical Necessity in Categorisation. Thinking and Reasoning 16 (1):45 – 65.score: 8.0
    Critical (necessary or sufficient) features in categorisation have a long history, but the empirical evidence makes their existence questionable. Nevertheless, there are some cases that suggest critical feature effects. The purpose of the present work is to offer some insight into why classification decisions might misleadingly appear as if they involve critical features. Utilising Tversky's (1977) contrast model of similarity, we suggest that when an object has a sparser representation, changing any of its features is more likely to lead to (...)
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  79. Cilia Witteman & Andreas Glöckner (2011). Beyond Dual-Process Models: A Categorisation of Processes Underlying Intuitive Judgement and Decision Making. Thinking and Reasoning 16 (1):1-25.score: 8.0
    Intuitive-automatic processes are crucial for making judgements and decisions. The fascinating complexity of these processes has attracted many decision researchers, prompting them to start investigating intuition empirically and to develop numerous models. Dual-process models assume a clear distinction between intuitive and deliberate processes but provide no further differentiation within both categories. We go beyond these models and argue that intuition is not a homogeneous concept, but a label used for different cognitive mechanisms. We suggest that these mechanisms have to be (...)
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  80. Susan P. Jauncey & David N. Moseley-Greatwich (2007). The Validity of Measuring Director and Board Performance: Continuum or Categorisation? International Journal of Business Governance and Ethics 3 (3):262-273.score: 8.0
    This paper investigated the effects, ramifications and limitations of categorising and labelling Directors and Boards when measuring or evaluating performance. According to Weiner (1982) labelling can have a profound impact on a person's life, leading to stigmas, reputation bias, prejudice or discrimination which can adversely impact Director and Board performance. Labelling Directors' behavioural traits can lead to the exaggeration of behaviours and lead fellow Directors or shareholders to have preconceived expectations about Directors. This study hypothesised that measurement of Directors and (...)
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  81. Vicki Bruce, Steve Langton & Harold Hill (1999). Complexities of Face Perception and Categorisation. Behavioral and Brain Sciences 22 (3):369-370.score: 8.0
    We amplify possible complications to the tidy division between early vision and later categorisation which arise when we consider the perception of human faces. Although a primitive face-detecting system, used for social attention, may indeed be integral to “early vision,” the relationship between this and diverse other uses made of information from faces is far from clear.
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  82. Frank Keil, Categorisation, Causation, and the Limits of Understanding.score: 8.0
    Although recent work has emphasised the importance of naı¨ve theories to categorisation, there has been little work examining the grain of analysis at which causal information normally influences categorisation. That level of analysis may often go unappreciated because of an ‘‘illusion of explanatory depth’’, in which people think they mentally represent causal explanatory relations in far more detail than they really do. Naı¨ve theories therefore might seem to be irrelevant to categorisation, or perhaps they only involve noting the presence of (...)
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  83. Elisabetta Zibetti, Vicenç Quera, Charles Tijus & Francesc Salvador Beltran (2001). Reasoning Based on Categorisation for Interpreting and Acting: A First Approach. Mind and Society 2 (2):87-104.score: 8.0
    Taking a detour to reach a goal is intelligent behavior based on making inferences. The main purpose of the present research is to show how such apparently complex behavior can emerge from basic mechanisms such as contextual categorisation and goal attribution when perceiving people. We presentacacia (Action by Contextually Automated Categorising Interactive Agents), a computer model implemented using StarLogo software, grounded in the principles of Artificial Life (Al), capable of simulating the behavior of a group of agents with a goal (...)
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  84. Francis Jacques (forthcoming). La Catégorisation au Travail. Revue de Métaphysique Et de Morale.score: 8.0
    Faut-il abandonner l'idée de catégorisation ou lui conserver une fonction plus restreinte, diversifiée, domaniale ? On se demande ce qui peut être préservé de la conception transcendantale pour prolonger son évolution récente au-delà de Wittgenstein, Goodman et Peirce. On propose une approche interrogative, présuppositionnelle et textologique qui lui conserve assez de fonctions (sémantique, judicatoire, heuristique, interprétative), pour qu'il reste significatif de parler de catégorisation. Au lieu d'être immobiles, les catégories ont vocation à commander la recherche, qu'elle soit enquête scientifique ou (...)
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  85. Stephen Laurence & Eric Margolis (1999). Concepts and Cognitive Science. In Eric Margolis & Stephen Laurence (eds.), Concepts: Core Readings. MIT.score: 6.0
    Given the fundamental role that concepts play in theories of cognition, philosophers and cognitive scientists have a common interest in concepts. Nonetheless, there is a great deal of controversy regarding what kinds of things concepts are, how they are structured, and how they are acquired. This chapter offers a detailed high-level overview and critical evaluation of the main theories of concepts and their motivations. Taking into account the various challenges that each theory faces, the chapter also presents a novel approach (...)
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  86. Eric Margolis & Stephen Laurence (eds.) (1999). Concepts: Core Readings. MIT Press.score: 6.0
  87. Eric Margolis & Stephen Laurence (eds.) (2007). Creations of the Mind: Theories of Artifacts and Their Representation. Oxford University Press.score: 6.0
    This volume will be a fascinating resource for philosophers, cognitive scientists, and psychologists, and the starting point for future research in the study of ...
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  88. Jack M. C. Kwong (2006). Why Concepts Can't Be Theories. Philosophical Explorations 9 (3):309-325.score: 6.0
    In this paper, I present an alternative argument for Jerry Fodor's recent conclusion that there are currently no tenable theories of concepts in the cognitive sciences and in the philosophy of mind. Briefly, my approach focuses on the 'theory-theory' of concepts. I argue that the two ways in which cognitive psychologists have formulated this theory lead to serious difficulties, and that there cannot be, in principle, a third way in which it can be reformulated. Insofar as the 'theory-theory' is supposed (...)
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  89. Robert G. Burton (2005). A Multilevel, Interdisciplinary Approach to Phenomenal Consciousness. Southern Journal of Philosophy 43 (4):531-543.score: 6.0
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  90. László Garai & Margit Köcski (1991). Positivist and Hermeneutic Principles in Psychology: Activity and Social Categorisation. Studies in East European Thought 42 (2).score: 6.0
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  91. Y. Coello & Y. DelevoYeturrell (2007). Embodiment, Spatial Categorisation and Action. Consciousness and Cognition 16 (3):667-683.score: 6.0
  92. Nicolas Claidière, Yasmina Jraissati & Coralie Chevallier (2008). A Colour Sorting Task Reveals the Limits of the Universalist/Relativist Dichotomy. Journal of Culture and Cognition 8:211-233.score: 6.0
    We designed a new protocol requiring French adult participants to group a large number of Munsell colour chips into three or four groups. On one, relativist, view, participants would be expected to rely on their colour lexicon in such a task. In this [ramework, the resulting groups should be more similar to French colour categories than to other languages categories. On another, universalist, view, participants would be expected to rely on universal features of perception. In this second framework, the resulting (...)
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  93. Jules Davidoff & Debi Roberson (1997). Empirical Evidence for Constraints on Colour Categorisation. Behavioral and Brain Sciences 20 (2):185-186.score: 6.0
  94. Michael S. C. Thomas, Harry R. M. Purser & Denis Mareschal (2012). Is the Mystery of Thought Demystified by Context-Dependent Categorisation? Towards a New Relation Between Language and Thought. Mind and Language 27 (5):595-618.score: 6.0
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  95. Darren Van Laar (1997). Ekphrasis in Colour Categorisation: Time for Research, or Time for Revolution? Behavioral and Brain Sciences 20 (2):210-210.score: 6.0
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  96. Brian Dillon, Ewan Dunbar & William Idsardi (2013). A Single-Stage Approach to Learning Phonological Categories: Insights From Inuktitut. Cognitive Science 37 (2):344-377.score: 6.0
    To acquire one’s native phonological system, language-specific phonological categories and relationships must be extracted from the input. The acquisition of the categories and relationships has each in its own right been the focus of intense research. However, it is remarkable that research on the acquisition of categories and the relations between them has proceeded, for the most part, independently of one another. We argue that this has led to the implicit view that phonological acquisition is a “two-stage” process: Phonetic categories (...)
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  97. Andrew Gustafson (2005). Categorizing Pain. In Murat Aydede (ed.), Pain: New Essays on its Nature and the Methodology of its Study. Cambridge Ma: Bradford Book/Mit Press.score: 6.0
     
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  98. Duška Klikovac (2004). Metafore U Mišljenju I Jeziku. Čigoja Štampa.score: 6.0
     
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  99. Francis Rousseaux (2007). Classer Ou Collectionner?: Réconcilier Scientifiques Et Collectionneurs. Academia Bruylant.score: 6.0
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  100. Christian D. Schunn & Alonso H. Vera (1995). Causality and the Categorisation of Objects and Events. Thinking and Reasoning 1 (3):237 – 284.score: 6.0
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