Search results for 'cognitive command' (try it on Scholar)

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  1. Bill Wringe (2008). Making the Lightness of Being Bearable: Arithmetical Platonism, Fictional Realism and Cognitive Command. Canadian Journal of Philosophy 38 (3):pp. 453-487.score: 78.0
    In this paper I argue against Divers and Miller's 'Lightness of Being' objection to Hale and Wright's neo-Fregean Platonism. According to the 'Lightness of Being' objection, the neo-Fregean Platonist makes existence too cheap: the same principles which allow her to argue that numbers exist also allow her to claim that fictional objects exist. I claim that this is no objection at all" the neo-Fregean Platonist should think that fictional characters exist. However, the pluralist approach to truth developed by WQright in (...)
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  2. Jakob Hohwy (1997). Quietism and Cognitive Command. Philosophical Quarterly 47 (189):495-500.score: 60.0
    Crispin Wright has sought to establish the possibility of ‘significant metaphysics’ in the shape of a common metric with which to measure the realism or robustness of various discourses. One means by which to place discourses in the metric is via the ‘cognitive command constraint’. Importantly, this constraint must be a priori. Richard Rorty has argued against this, that, given content is a function of standards of representationality, the a priori requirement cannot be satisfied. I show that this (...)
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  3. Review author[S.]: Stewart Shapiro & William W. Taschek (1996). Institutionism, Pluralism, and Cognitive Command. Journal of Philosophy 93 (2):74-88.score: 45.0
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  4. Stewart Shapiro & William W. Taschek (1996). ``Intuitionism, Pluralism, and Cognitive Command&Quot;. Journal of Philosophy 20 (2):74-88.score: 45.0
  5. Terence Cuneo (2003). Moral Explanations, Minimalism, and Cognitive Command. Southern Journal of Philosophy 41 (3):351-365.score: 45.0
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  6. Anthony Brueckner (1998). Realism, Best Explanation, and Cognitive Command. Philosophical Papers 27 (1):69-78.score: 45.0
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  7. Tommaso Piazza (2005). Trivializing Cognitive Command. European Journal of Analytic Philosophy 1 (2):51-66.score: 45.0
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  8. John K. Davis (2010). An Alternative to Relativism. Philosophical Topics 38 (2):17-37.score: 30.0
    Some moral disagreements are so persistent that we suspect they are deep: we would disagree even when we have all relevant information and no one makes any mistakes (this is also known as faultless disagreement). The possibility of deep disagreement is thought to drive cognitivists toward relativism, but most cognitivists reject relativism. There is an alternative. According to divergentism, cognitivists can reject relativism while allowing for deep disagreement. This view has rarely been defended at length, but many philosophers have implicitly (...)
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  9. Kenneth R. Westphal (1998). ‘Transcendental Reflections on Pragmatic Realism’. In K. R. Westphal (ed.), Pragmatism, Reason, & Norms: A Realistic Assessment. Fordham UP. 17--58.score: 30.0
    By deepening Austin’s reflections on the ‘open texture’ of empirical concepts, Frederick L. Will defends an ‘externalist’ account of mental content: as human beings we could not think, were we not in fact cognizant of a natural world structured by events and objects with identifiable and repeatable similarities and differences. I explicate and defend Will’s insight by developing a parallel critique of Kant’s and Carnap’s rejections of realism, both of whom cannot account properly for the content of experience. This critique (...)
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  10. Mog Stapleton (2013). Steps to a "Properly Embodied" Cognitive Science. Cognitive Systems Research 22 (June):1-11.score: 21.0
    Cognitive systems research has predominantly been guided by the historical distinction between emotion and cognition, and has focused its efforts on modelling the “cognitive” aspects of behaviour. While this initially meant modelling only the control system of cognitive creatures, with the advent of “embodied” cognitive science this expanded to also modelling the interactions between the control system and the external environment. What did not seem to change with this embodiment revolution, however, was the attitude towards affect (...)
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  11. Uriah Kriegel (2011). Cognitive Phenomenology as the Basis of Unconscious Content. In T. Bayne & M. Montague (eds.), Cognitive Phenomenology. Oxford University Press. 79--102.score: 21.0
    Since the seventies, it has been customary to assume that intentionality is independent of consciousness. Recently, a number of philosophers have rejected this assumption, claiming intentionality is closely tied to consciousness, inasmuch as non- conscious intentionality in some sense depends upon conscious intentionality. Within this alternative framework, the question arises of how to account for unconscious intentionality, and different authors have offered different accounts. In this paper, I compare and contrast four possible accounts of unconscious intentionality, which I call potentialism, (...)
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  12. Carrie Figdor (2011). Semantics and Metaphysics in Informatics: Toward an Ontology of Tasks (a Reply to Lenartowicz Et Al. 2010, Towards an Ontology of Cognitive Control). Topics in Cognitive Science 3 (2):222-226.score: 21.0
    This article clarifies three principles that should guide the development of any cognitive ontology. First, that an adequate cognitive ontology depends essentially on an adequate task ontology; second, that the goal of developing a cognitive ontology is independent of the goal of finding neural implementations of the processes referred to in the ontology; and third, that cognitive ontologies are neutral regarding the metaphysical relationship between cognitive and neural processes.
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  13. P. Sven Arvidson (2003). A Lexicon of Attention: From Cognitive Science to Phenomenology. [REVIEW] Phenomenology and the Cognitive Sciences 2 (2):99-132.score: 21.0
    This article tries to create a bridge of understanding between cognitive scientists and phenomenologists who work on attention. In light of a phenomenology of attention and current psychological and neuropsychological literature on attention, I translate and interpret into phenomenological terms 20 key cognitive science concepts as examined in the laboratory and used in leading journals. As a preface to the lexicon, I outline a phenomenology of attention, especially as a dynamic three-part structure, which I have freely amended from (...)
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  14. Mark Collier (2005). Hume and Cognitive Science: The Current Status of the Controversy Over Abstract Ideas. [REVIEW] Phenomenology and the Cognitive Sciences 4 (2):197-207.score: 21.0
    In Book I, Part I, Section VII of the Treatise, Hume sets out to settle, once and for all, the early modern controversy over abstract ideas. In order to do so, he tries to accomplish two tasks: (1) he attempts to defend an exemplar-based theory of general language and thought, and (2) he sets out to refute the rival abstraction-based account. This paper examines the successes and failures of these two projects. I argue that Hume manages to articulate a plausible (...)
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  15. Dustin Stokes (forthcoming). Towards a Consequentialist Understanding of Cognitive Penetration. In A. Raftopoulos & J. Ziembekis (eds.), Cognitive Effects on Perception: New Philosophical Perspectives.score: 21.0
    Philosophers of mind and cognitive scientists have recently taken renewed interest in cognitive penetration, in particular, in the cognitive penetration of perceptual experience. The question is whether cognitive states like belief influence perceptual experience in some important way. Since the possible phenomenon is an empirical one, the strategy for analysis has, predictably, proceeded as follows: define the phenomenon and then, definition in hand, interpret various psychological data. However, different theorists offer different and apparently inconsistent definitions. And (...)
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  16. Richard P. Cooper (2010). Cognitive Control: Componential or Emergent? Topics in Cognitive Science 2 (4):598-613.score: 21.0
    The past 25 years have witnessed an increasing awareness of the importance of cognitive control in the regulation of complex behavior. It now sits alongside attention, memory, language, and thinking as a distinct domain within cognitive psychology. At the same time it permeates each of these sibling domains. This introduction reviews recent work on cognitive control in an attempt to provide a context for the fundamental question addressed within this topic: Is cognitive control to be understood (...)
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  17. Richard P. Cooper & Tim Shallice (2010). Cognitive Neuroscience: The Troubled Marriage of Cognitive Science and Neuroscience. Topics in Cognitive Science 2 (3):398-406.score: 21.0
    We discuss the development of cognitive neuroscience in terms of the tension between the greater sophistication in cognitive concepts and methods of the cognitive sciences and the increasing power of more standard biological approaches to understanding brain structure and function. There have been major technological developments in brain imaging and advances in simulation, but there have also been shifts in emphasis, with topics such as thinking, consciousness, and social cognition becoming fashionable within the brain sciences. The discipline (...)
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  18. Karola Stotz (2010). Human Nature and Cognitive–Developmental Niche Construction. Phenomenology and the Cognitive Sciences 9 (4):483-501.score: 21.0
    Recent theories in cognitive science have begun to focus on the active role of organisms in shaping their own environment, and the role of these environmental resources for cognition. Approaches such as situated, embedded, ecological, distributed and particularly extended cognition look beyond ‘what is inside your head’ to the old Gibsonian question of ‘what your head is inside of’ and with which it forms a wider whole—its internal and external cognitive niche. Since these views have been treated as (...)
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  19. Daniel C. Dennett (2009). The Part of Cognitive Science That Is Philosophy. Topics in Cognitive Science 1 (2):231--236.score: 21.0
    There is much good work for philosophers to do in cognitive science if they adopt the constructive attitude that prevails in science, work toward testable hypotheses, and take on the task of clarifying the relationship between the scientific concepts and the everyday concepts with which we conduct our moral lives.
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  20. Mark Reybrouck (2005). A Biosemiotic and Ecological Approach to Music Cognition: Event Perception Between Auditory Listening and Cognitive Economy. [REVIEW] Axiomathes. An International Journal in Ontology and Cognitive Systems. 15 (2):229-266.score: 21.0
    This paper addresses the question whether we can conceive of music cognition in ecosemiotic terms. It claims that music knowledge must be generated as a tool for adaptation to the sonic world and calls forth a shift from a structural description of music as an artifact to a process-like approach to dealing with music. As listeners, we are observers who construct and organize our knowledge and bring with us our observational tools. What matters is not merely the sonic world in (...)
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  21. Dario D. Salvucci & Niels A. Taatgen (2011). Toward a Unified View of Cognitive Control. Topics in Cognitive Science 3 (2):227-230.score: 21.0
    Allen Newell (1973) once observed that psychology researchers were playing “twenty questions with nature,” carving up human cognition into hundreds of individual phenomena but shying away from the difficult task of integrating these phenomena with unifying theories. We argue that research on cognitive control has followed a similar path, and that the best approach toward unifying theories of cognitive control is that proposed by Newell, namely developing theories in computational cognitive architectures. Threaded cognition, a recent theory developed (...)
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  22. Jonathan A. Waskan (2003). Intrinsic Cognitive Models. Cognitive Science 27 (2):259-283.score: 21.0
    Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking requires the construction (...)
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  23. Dedre Gentner (2010). Psychology in Cognitive Science: 1978–2038. Topics in Cognitive Science 2 (3):328-344.score: 21.0
    This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society and the journal began, (...)
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  24. Sashank Varma (2011). Criteria for the Design and Evaluation of Cognitive Architectures. Cognitive Science 35 (7):1329-1351.score: 21.0
    Cognitive architectures are unified theories of cognition that take the form of computational formalisms. They support computational models that collectively account for large numbers of empirical regularities using small numbers of computational mechanisms. Empirical coverage and parsimony are the most prominent criteria by which architectures are designed and evaluated, but they are not the only ones. This paper considers three additional criteria that have been comparatively undertheorized. (a) Successful architectures possess subjective and intersubjective meaning, making cognition comprehensible to individual (...)
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  25. Marco Mirolli (2012). Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent. Cognitive Science 36 (5):870-895.score: 21.0
    Understanding the role of ‘‘representations’’ in cognitive science is a fundamental problem facing the emerging framework of embodied, situated, dynamical cognition. To make progress, I follow the approach proposed by an influential representational skeptic, Randall Beer: building artificial agents capable of minimally cognitive behaviors and assessing whether their internal states can be considered to involve representations. Hence, I operationalize the concept of representing as ‘‘standing in,’’ and I look for representations in embodied agents involved in simple categorization tasks. (...)
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  26. Peer F. Bundgaard (2004). The Ideal Scaffolding of Language: Husser's Fourth Logical Investigation in the Light of Cognitive Linguistics. [REVIEW] Phenomenology and the Cognitive Sciences 3 (1):49-80.score: 21.0
    One of the central issues in linguistics is whether or not language should be considered a self-contained, autonomous formal system, essentially reducible to the syntactic algorithms of meaning construction (as Chomskyan grammar would have it), or a holistic-functional system serving the means of expressing pre-organized intentional contents and thus accessible with respect to features and structures pertaining to other cognitive subsystems or to human experience as such (as Cognitive Linguistics would have it). The latter claim depends critically on (...)
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  27. Jeanette K. Gundel, Nancy Hedberg & Ron Zacharski (2012). Underspecification of Cognitive Status in Reference Production: Some Empirical Predictions. Topics in Cognitive Science 4 (2):249-268.score: 21.0
    Within the Givenness Hierarchy framework of Gundel, Hedberg, and Zacharski (1993), lexical items included in referring forms are assumed to conventionally encode two kinds of information: conceptual information about the speaker’s intended referent and procedural information about the assumed cognitive status of that referent in the mind of the addressee, the latter encoded by various determiners and pronouns. This article focuses on effects of underspecification of cognitive status, establishing that, although salience and accessibility play an important role in (...)
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  28. Linda B. Smith & Adam Sheya (2010). Is Cognition Enough to Explain Cognitive Development? Topics in Cognitive Science 2 (4):725-735.score: 21.0
    Traditional views separate cognitive processes from sensory–motor processes, seeing cognition as amodal, propositional, and compositional, and thus fundamentally different from the processes that underlie perceiving and acting. These were the ideas on which cognitive science was founded 30 years ago. However, advancing discoveries in neuroscience, cognitive neuroscience, and psychology suggests that cognition may be inseparable from processes of perceiving and acting. From this perspective, this study considers the future of cognitive science with respect to the study (...)
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  29. Evangelia G. Chrysikou, Jared M. Novick, John C. Trueswell & Sharon L. Thompson-Schill (2011). The Other Side of Cognitive Control: Can a Lack of Cognitive Control Benefit Language and Cognition? Topics in Cognitive Science 3 (2):253-256.score: 21.0
    Cognitive control refers to the regulation of mental activity to support flexible cognition across different domains. Cragg and Nation (2010) propose that the development of cognitive control in children parallels the development of language abilities, particularly inner speech. We suggest that children’s late development of cognitive control also mirrors their limited ability to revise misinterpretations of sentence meaning. Moreover, we argue that for certain tasks, a tradeoff between bottom-up (data-driven) and top-down (rule-based) thinking may actually benefit performance (...)
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  30. Paul Thagard (2009). Why Cognitive Science Needs Philosophy and Vice Versa. Topics in Cognitive Science 1 (2):237-254.score: 21.0
    Contrary to common views that philosophy is extraneous to cognitive science, this paper argues that philosophy has a crucial role to play in cognitive science with respect to generality and normativity. General questions include the nature of theories and explanations, the role of computer simulation in cognitive theorizing, and the relations among the different fields of cognitive science. Normative questions include whether human thinking should be Bayesian, whether decision making should maximize expected utility, and how norms (...)
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  31. David Badre (2011). Defining an Ontology of Cognitive Control Requires Attention to Component Interactions. Topics in Cognitive Science 3 (2):217-221.score: 21.0
    Cognitive control is not only componential, but those components may interact in complicated ways in the service of cognitive control tasks. This complexity poses a challenge for developing an ontological description, because the mapping may not be direct between our task descriptions and true component differences reflected in indicators. To illustrate this point, I discuss two examples: (a) the relationship between adaptive gating and working memory and (b) the recent evidence for a control hierarchy. From these examples, I (...)
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  32. Kenneth D. Forbus (2010). AI and Cognitive Science: The Past and Next 30 Years. Topics in Cognitive Science 2 (3):345-356.score: 21.0
    Artificial Intelligence (AI) is a core area of Cognitive Science, yet today few AI researchers attend the Cognitive Science Society meetings. This essay examines why, how AI has changed over the last 30 years, and some emerging areas of potential interest where AI and the Society can go together in the next 30 years, if they choose.
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  33. J. Bruce Morton, Fredrick Ezekiel & Heather A. Wilk (2011). Cognitive Control: Easy to Identify But Hard to Define. Topics in Cognitive Science 3 (2):212-216.score: 21.0
    Cognitive control is easy to identify in its effects, but difficult to grasp conceptually. This creates somewhat of a puzzle: Is cognitive control a bona fide process or an epiphenomenon that merely exists in the mind of the observer? The topiCS special edition on cognitive control presents a broad set of perspectives on this issue and helps to clarify central conceptual and empirical challenges confronting the field. Our commentary provides a summary of and critical response to each (...)
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  34. Barbara Tillmann (2012). Music and Language Perception: Expectations, Structural Integration, and Cognitive Sequencing. Topics in Cognitive Science 4 (4):568-584.score: 21.0
    Music can be described as sequences of events that are structured in pitch and time. Studying music processing provides insight into how complex event sequences are learned, perceived, and represented by the brain. Given the temporal nature of sound, expectations, structural integration, and cognitive sequencing are central in music perception (i.e., which sounds are most likely to come next and at what moment should they occur?). This paper focuses on similarities in music and language cognition research, showing that music (...)
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  35. Niels Taatgen & John R. Anderson (2010). The Past, Present, and Future of Cognitive Architectures. Topics in Cognitive Science 2 (4):693-704.score: 21.0
    Cognitive architectures are theories of cognition that try to capture the essential representations and mechanisms that underlie cognition. Research in cognitive architectures has gradually moved from a focus on the functional capabilities of architectures to the ability to model the details of human behavior, and, more recently, brain activity. Although there are many different architectures, they share many identical or similar mechanisms, permitting possible future convergence. In judging the quality of a particular cognitive model, it is pertinent (...)
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  36. Balakrishnan Chandrasekaran, Bonny Banerjee, Unmesh Kurup & Omkar Lele (2011). Augmenting Cognitive Architectures to Support Diagrammatic Imagination. Topics in Cognitive Science 3 (4):760-777.score: 21.0
    Diagrams are a form of spatial representation that supports reasoning and problem solving. Even when diagrams are external, not to mention when there are no external representations, problem solving often calls for internal representations, that is, representations in cognition, of diagrammatic elements and internal perceptions on them. General cognitive architectures—Soar and ACT-R, to name the most prominent—do not have representations and operations to support diagrammatic reasoning. In this article, we examine some requirements for such internal representations and processes in (...)
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  37. Lucy Cragg & Kate Nation (2010). Language and the Development of Cognitive Control. Topics in Cognitive Science 2 (4):631-642.score: 21.0
    We review the relationships between language, inner speech, and cognitive control in children and young adults, focusing on the domain of cognitive flexibility. We address the role that inner speech plays in flexibly shifting between tasks, addressing whether it is used to represent task rules, provide a reminder of task order, or aid in task retrieval. We also consider whether the development of inner speech in childhood serves to drive the development of cognitive flexibility. We conclude that (...)
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  38. Sieghard Beller, Andrea Bender & Douglas L. Medin (2012). Should Anthropology Be Part of Cognitive Science? Topics in Cognitive Science 4 (3):342-353.score: 21.0
    Anthropology and the other cognitive science (CS) subdisciplines currently maintain a troubled relationship. With a debate in topiCS we aim at exploring the prospects for improving this relationship, and our introduction is intended as a catalyst for this debate. In order to encourage a frank sharing of perspectives, our comments will be deliberately provocative. Several challenges for a successful rapprochement are identified, encompassing the diverging paths that CS and anthropology have taken in the past, the degree of compatibility between (...)
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  39. James S. Boster (2012). Cognitive Anthropology Is a Cognitive Science. Topics in Cognitive Science 4 (3):372-378.score: 21.0
    Cognitive anthropology contributes to cognitive science as a complement to cognitive psychology. The chief threat to its survival has not been rejection by other cognitive scientists but by other cultural anthropologists. It will remain a part of cognitive science as long as cognitive anthropologists research, teach, and publish.
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  40. Richard M. Shiffrin (2010). Perspectives on Modeling in Cognitive Science. Topics in Cognitive Science 2 (4):736-750.score: 21.0
    This commentary gives a personal perspective on modeling and modeling developments in cognitive science, starting in the 1950s, but focusing on the author’s personal views of modeling since training in the late 1960s, and particularly focusing on advances since the official founding of the Cognitive Science Society. The range and variety of modeling approaches in use today are remarkable, and for many, bewildering. Yet to come to anything approaching adequate insights into the infinitely complex fields of mind, brain, (...)
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  41. Annelie Rothe (2012). Cognitive Anthropologists: Who Needs Them? Topics in Cognitive Science 4 (3):387-395.score: 21.0
    During the last decades, the cognitive sciences and cognitive anthropology have increasingly veered away from each other. Cognitive anthropologists have become so rare within the cognitive sciences that Beller, Bender, and Medin (this issue) even propose a division of the cognitive sciences and cognitive anthropology. However, such a divorce might be premature. This commentary tries to illustrate the benefits that cognitive anthropologists have to offer, not despite, but because of their combination of humanistic (...)
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  42. Andrea Bender, Sieghard Beller & Douglas L. Medin (2012). Turning Tides: Prospects for More Diversity in Cognitive Science. Topics in Cognitive Science 4 (3):462-466.score: 21.0
    This conclusion of the debate on anthropology’s role in cognitive science provides some clarifications and an overview of emergent themes. It also lists, as cases of good practice, some examples of productive cross-disciplinary collaboration that evince a forward momentum in the relationship between anthropology and the other cognitive sciences.
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  43. Brian Fisher, Tera Marie Green & Richard Arias-Hernández (2011). Visual Analytics as a Translational Cognitive Science. Topics in Cognitive Science 3 (3):609-625.score: 21.0
    Visual analytics is a new interdisciplinary field of study that calls for a more structured scientific approach to understanding the effects of interaction with complex graphical displays on human cognitive processes. Its primary goal is to support the design and evaluation of graphical information systems that better support cognitive processes in areas as diverse as scientific research and emergency management. The methodologies that make up this new field are as yet ill defined. This paper proposes a pathway for (...)
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  44. Stefan L. Frank (2013). Uncertainty Reduction as a Measure of Cognitive Load in Sentence Comprehension. Topics in Cognitive Science 5 (3):475-494.score: 21.0
    The entropy-reduction hypothesis claims that the cognitive processing difficulty on a word in sentence context is determined by the word's effect on the uncertainty about the sentence. Here, this hypothesis is tested more thoroughly than has been done before, using a recurrent neural network for estimating entropy and self-paced reading for obtaining measures of cognitive processing load. Results show a positive relation between reading time on a word and the reduction in entropy due to processing that word, supporting (...)
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  45. Ion Juvina (2011). Cognitive Control: Componential and Yet Emergent. Topics in Cognitive Science 3 (2):242-246.score: 21.0
    In this commentary, I will argue that the componential and emergent views of cognitive control as defined by Cooper (2010) do not necessarily oppose each other, and I will try to make a case for their interdependence. First, I will use the construct of cognitive inhibition—one of the main componential control functions mentioned in the target articles—to illustrate my line of reasoning. Then, I will comment on how some of the target articles, each from a different perspective, bring (...)
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  46. Caspar Addyman & Robert M. French (2012). Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science 4 (3):332-341.score: 21.0
    Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of (...)
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  47. Rita Astuti & Maurice Bloch (2012). Anthropologists as Cognitive Scientists. Topics in Cognitive Science 4 (3):453-461.score: 21.0
    Anthropology combines two quite different enterprises: the ethnographic study of particular people in particular places and the theorizing about the human species. As such, anthropology is part of cognitive science in that it contributes to the unitary theoretical aim of understanding and explaining the behavior of the animal species Homo sapiens. This article draws on our own research experience to illustrate that cooperation between anthropology and the other sub-disciplines of cognitive science is possible and fruitful, but it must (...)
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  48. Kenneth Forbus, Jeffrey Usher, Andrew Lovett, Kate Lockwood & Jon Wetzel (2011). CogSketch: Sketch Understanding for Cognitive Science Research and for Education. Topics in Cognitive Science 3 (4):648-666.score: 21.0
    Sketching is a powerful means of working out and communicating ideas. Sketch understanding involves a combination of visual, spatial, and conceptual knowledge and reasoning, which makes it both challenging to model and potentially illuminating for cognitive science. This paper describes CogSketch, an ongoing effort of the NSF-funded Spatial Intelligence and Learning Center, which is being developed both as a research instrument for cognitive science and as a platform for sketch-based educational software. We describe the idea of open-domain sketch (...)
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  49. Richard A. Shweder (2012). Anthropology's Disenchantment With the Cognitive Revolution1. Topics in Cognitive Science 4 (3):354-361.score: 21.0
    Beller, Bender, and Medin should be congratulated for their generous attempt at expressive academic therapy for troubled interdisciplinary relationships. In this essay, I suggest that a negative answer to the central question (“Should anthropology be part of cognitive science?”) is not necessarily distressing, that in retrospect the breakup seems fairly predictable, and that disenchantment with the cognitive revolution is nothing new.
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  50. Susan E. F. Chipman (2010). Applications in Education and Training: A Force Behind the Development of Cognitive Science. Topics in Cognitive Science 2 (3):386-397.score: 21.0
    This paper reviews 30 years of progress in U.S. cognitive science research related to education and training, as seen from the perspective of a research manager who was personally involved in many of these developments.
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