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

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  1.  31
    Thomas Fossen & Bert van den Brink (2015). Electoral Dioramas: On the Problem of Representation in Voting Advice Applications. Representation 51 (3):341-358.
    Voting Advice Applications (VAAs) are online tools designed to help citizens decide how to vote. They typically offer their users a representation of what is at stake in an election by matching user preferences on issues with those of parties or candidates. While the use of VAAs has boomed in recent years in both established and new democracies, this new phenomenon in the electoral landscape has received little attention from political theorists. The current academic debate is focused on (...)
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  2. Hilary Putnam (1987). Representation and Reality. MIT Press.
    Hilary Putnam, who may have been the first philosopher to advance the notion that the computer is an apt model for the mind, takes a radically new view of his...
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  3.  45
    Robert C. Cummins (1989). Meaning and Mental Representation. MIT Press.
  4.  47
    Mark Rowlands (2006). Body Language: Representation in Action. Cambridge MA: Bradford Book/MIT Press.
    This is not to say simply that these forms of acting can facilitate representation but that they are themselves representational.
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  5. Robert C. Cummins (2002). Haugeland on Representation and Intentionality. In Hugh Clapin (ed.), Philosophy of Mental Representation. Oxford University Press
    Haugeland doesn’t have what I would call a theory of mental representation. Indeed, it isn’t clear that he believes there is such a thing. But he does have a theory of intentionality and a correlative theory of objectivity, and it is this material that I will be discussing in what follows. It will facilitate the discussion that follows to have at hand some distinctions and accompanying terminology I introduced in Representations, Targets and Attitudes (Cummins, 1996; RTA hereafter). Couching the (...)
     
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  6.  57
    Roberto Casati & Achille C. Varzi (1999). Parts and Places. The Structures of Spatial Representation. The MIT Press.
    Thinking about space is thinking about spatial things. The table is on the carpet; hence the carpet is under the table. The vase is in the box; hence the box is not in the vase. But what does it mean for an object to be somewhere? How are objects tied to the space they occupy? This book is concerned with these and other fundamental issues in the philosophy of spatial representation. Our starting point is an analysis of the interplay (...)
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  7. Janet Borgerson & Jonathan Schroeder (2002). Ethical Issues of Global Marketing: Avoiding Bad Faith in Visual Representation. European Journal of Marketing 36 (5/6):570-594.
    This paper examines visual representation from a distinctive, interdisciplinary perspective that draws on ethics, visual studies and critical race theory. Suggests ways to clarify complex issues of representational ethics in marketing communications and marketing representations, suggesting an analysis that makes identity creation central to societal marketing concerns. Analyzes representations of the exotic Other in disparate marketing campaigns, drawing upon tourist promotions, advertisements, and mundane objects in material culture. Moreover, music is an important force in marketing communication: visual representations in (...)
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  8. Mauricio Suarez (2003). Scientific Representation: Against Similarity and Isomorphism. International Studies in the Philosophy of Science 17 (3):225-244.
    I argue against theories that attempt to reduce scientific representation to similarity or isomorphism. These reductive theories aim to radically naturalize the notion of representation, since they treat scientist's purposes and intentions as non-essential to representation. I distinguish between the means and the constituents of representation, and I argue that similarity and isomorphism are common but not universal means of representation. I then present four other arguments to show that similarity and isomorphism are not the (...)
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  9. Tarja Knuuttila (2011). Modelling and Representing: An Artefactual Approach to Model-Based Representation. Studies in History and Philosophy of Science 42 (2):262-271.
    The recent discussion on scientific representation has focused on models and their relationship to the real world. It has been assumed that models give us knowledge because they represent their supposed real target systems. However, here agreement among philosophers of science has tended to end as they have presented widely different views on how representation should be understood. I will argue that the traditional representational approach is too limiting as regards the epistemic value of modelling given the focus (...)
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  10.  52
    Tom Doherty, Samuel Baron & Kristie Miller (2015). Why is There Female Under-Representation Among Philosophy Majors? Evidence of a Pre-University Effect. Ergo, an Open Access Journal of Philosophy 2.
    Why does female under- representation emerge during undergraduate education? At the University of Sydney, we surveyed students before and after their first philosophy course. We failed to find any evidence that this course disproportionately discouraged female students from continuing in philosophy relative to male students. Instead, we found evidence of an interaction effect between gender and existing attitudes about philosophy coming into tertiary education that appears at least partially responsible for this poor retention. At the first lecture, disproportionately few (...)
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  11. Angela Mendelovici (2013). Reliable Misrepresentation and Tracking Theories of Mental Representation. Philosophical Studies 165 (2):421-443.
    It is a live possibility that certain of our experiences reliably misrepresent the world around us. I argue that tracking theories of mental representation have difficulty allowing for this possibility, and that this is a major consideration against them.
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  12.  91
    Stephen Andrew Butterfill & Corrado Sinigaglia (2014). Intention and Motor Representation in Purposive Action. Philosophy and Phenomenological Research 88 (1):119-145.
    Are there distinct roles for intention and motor representation in explaining the purposiveness of action? Standard accounts of action assign a role to intention but are silent on motor representation. The temptation is to suppose that nothing need be said here because motor representation is either only an enabling condition for purposive action or else merely a variety of intention. This paper provides reasons for resisting that temptation. Some motor representations, like intentions, coordinate actions in virtue of (...)
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  13.  71
    L. Shastri & V. Ajjanagadde (1993). From Simple Associations to Systematic Reasoning: A Connectionist Representation of Rules, Variables, and Dynamic Binding Using Temporal Synchrony. Behavioral and Brain Sciences 16 (3):417-51.
    Human agents draw a variety of inferences effortlessly, spontaneously, and with remarkable efficiency – as though these inferences were a reflexive response of their cognitive apparatus. Furthermore, these inferences are drawn with reference to a large body of background knowledge. This remarkable human ability seems paradoxical given the complexity of reasoning reported by researchers in artificial intelligence. It also poses a challenge for cognitive science and computational neuroscience: How can a system of simple and slow neuronlike elements represent a large (...)
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  14. Robert Briscoe (2009). Egocentric Spatial Representation in Action and Perception. Philosophy and Phenomenological Research 79 (2):423-460.
    Neuropsychological findings used to motivate the "two visual systems" hypothesis have been taken to endanger a pair of widely accepted claims about spatial representation in conscious visual experience. The first is the claim that visual experience represents 3-D space around the perceiver using an egocentric frame of reference. The second is the claim that there is a constitutive link between the spatial contents of visual experience and the perceiver's bodily actions. In this paper, I review and assess three main (...)
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  15. Mark H. Bickhard & D. Michael Richie (1983). On The Nature Of Representation: A Case Study Of James Gibson's Theory Of Perception. Ny: Praeger.
  16. Ronald Giere (2010). An Agent-Based Conception of Models and Scientific Representation. Synthese 172 (2):269–281.
    I argue for an intentional conception of representation in science that requires bringing scientific agents and their intentions into the picture. So the formula is: Agents (1) intend; (2) to use model, M; (3) to represent a part of the world, W; (4) for some purpose, P. This conception legitimates using similarity as the basic relationship between models and the world. Moreover, since just about anything can be used to represent anything else, there can be no unified ontology of (...)
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  17. Craig Callender & Jonathan Cohen (2006). There is No Special Problem About Scientific Representation. Theoria 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to thc scientific special case. Construing scientific representation in this way makes the so-called “problem of scientific representation” look much less interesting than it has seerned to many, and suggests that some of the (hotly contested) debates in the literature are concerned with non-issues.
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  18. Angela Mendelovici (2010). Mental Representation and Closely Conflated Topics. Dissertation, Princeton University
    This dissertation argues that mental representation is identical to phenomenal consciousness, and everything else that appears to be both mental and a matter of representation is not genuine mental representation, but either in some way derived from mental representation, or a case of non-mental representation.
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  19.  23
    Agnes Bolinska (forthcoming). Successful Visual Epistemic Representation. Studies in History and Philosophy of Science Part A.
    In this paper, I characterize visual epistemic representations as concrete two- or three-dimensional tools for conveying information about aspects of their target systems or phenomena of interest. I outline two features of successful visual epistemic representation: that the vehicle of representation contain sufficiently accurate information about the phenomenon of interest for the user’s purpose, and that it convey this information to the user in a manner that makes it readily available to her. I argue that actual epistemic (...) may involve tradeoffs between these and is successful to the extent that they are present. (shrink)
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  20.  53
    Agnes Bolinska (2013). Epistemic Representation, Informativeness and the Aim of Faithful Representation. Synthese 190 (2):219-234.
    In this paper, I take scientific models to be epistemic representations of their target systems. I define an epistemic representation to be a tool for gaining information about its target system and argue that a vehicle’s capacity to provide specific information about its target system—its informativeness—is an essential feature of this kind of representation. I draw an analogy to our ordinary notion of interpretation to show that a user’s aim of faithfully representing the target system is necessary for (...)
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  21.  57
    Anjan Chakravatty (2010). Informational Versus Functional Theories of Scientific Representation. Synthese 172 (2):197 - 213.
    Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call 'informational' views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call 'functional' views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and (...)
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  22.  89
    Glenn Carruthers (2008). Types of Body Representation and the Sense of Embodiment. Consciousness and Cognition 17 (1302):1316.
    The sense of embodiment is vital for self recognition. An examination of anosognosia for hemiplegia—the inability to recognise that one is paralysed down one side of one’s body—suggests the existence of ‘online’ and ‘offline’ representations of the body. Online representations of the body are representations of the body as it is currently, are newly constructed moment by moment and are directly “plugged into” current perception of the body. In contrast, offline representations of the body are representations of what the body (...)
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  23. Andreas Bartels (2006). Defending the Structural Concept of Representation. Theoria 21 (55):7-19.
    The aim of this paper is to defend the structural concept of representation, as defined by homomorphisms, against its main objections, namely: logical objections, the objection from misrepresentation, theobjection from failing necessity, and the copy theory objection. The logical objections can be met by reserving the relation.
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  24. Rick Grush (1997). The Architecture of Representation. Philosophical Psychology 10 (1):5-23.
    b>: In this article I outline, apply, and defend a theory of natural representation. The main consequences of this theory are: i) representational status is a matter of how physical entities are used, and specifically is not a matter of causation, nomic relations with the intentional object, or information; ii) there are genuine (brain-)internal representations; iii) such representations are really representations, and not just farcical pseudo-representations, such as attractors, principal components, state-space partitions, or what-have-you;and iv) the theory allows us (...)
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  25.  52
    Shimon Edelman (1995). Representation, Similarity, and the Chorus of Prototypes. Minds and Machines 5 (1):45-68.
    It is proposed to conceive of representation as an emergent phenomenon that is supervenient on patterns of activity of coarsely tuned and highly redundant feature detectors. The computational underpinnings of the outlined concept of representation are (1) the properties of collections of overlapping graded receptive fields, as in the biological perceptual systems that exhibit hyperacuity-level performance, and (2) the sufficiency of a set of proximal distances between stimulus representations for the recovery of the corresponding distal contrasts between stimuli, (...)
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  26. Jiajie Zhang & Vimla L. Patel (2006). Distributed Cognition, Representation, and Affordance. Pragmatics and Cognition 14 (2):333-341.
    This article describes a representation-based framework of distributed cognition. This framework considers distributed cognition as a cognitive system whose structures and processes are distributed between internal and external representations, across a group of individuals, and across space and time. The major issue for distributed research, under this framework, are the distribution, transformation, and propagation of information across the components of the distributed cognitive system and how they affect the performance of the system as a whole. To demonstrate the value (...)
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  27.  5
    H. L. Roitblat (1982). The Meaning of Representation in Animal Memory. Behavioral and Brain Sciences 5 (3):353.
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  28. Gary Hatfield (1991). Representation and Rule-Instantiation in Connectionist Systems. In Terence E. Horgan & John L. Tienson (eds.), Connectionism and the Philosophy of Mind. Kluwer
    There is disagreement over the notion of representation in cognitive science. Many investigators equate representations with symbols, that is, with syntactically defined elements in an internal symbol system. In recent years there have been two challenges to this orthodoxy. First, a number of philosophers, including many outside the symbolist orthodoxy, have argued that "representation" should be understood in its classical sense, as denoting a "stands for" relation between representation and represented. Second, there has been a growing challenge (...)
     
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  29. Isabelle Peschard (2011). Making Sense of Modeling: Beyond Representation. [REVIEW] European Journal for Philosophy of Science 1 (3):335-352.
    Making sense of modeling: beyond representation Content Type Journal Article Category Original paper in Philosophy of Science Pages 335-352 DOI 10.1007/s13194-011-0032-8 Authors Isabelle Peschard, Philosophy Department, San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132, USA Journal European Journal for Philosophy of Science Online ISSN 1879-4920 Print ISSN 1879-4912 Journal Volume Volume 1 Journal Issue Volume 1, Number 3.
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  30. Uriah Kriegel (2013). Two Notions of Mental Representation. In U. Kriegel (ed.), Current Controversies in Philosophy of Mind. Routledge 161-179.
    The main thesis of this paper is twofold. In the first half of the paper, (§§1-2), I argue that there are two notions of mental representation, which I call objective and subjective. In the second part (§§3-7), I argue that this casts familiar tracking theories of mental representation as incomplete: while it is clear how they might account for objective representation, they at least require supplementation to account for subjective representation.
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  31.  12
    Stephen M. Kosslyn & Gary Hatfield (1984). Representation Without Symbol Systems. Social Research 51:1019-1045.
    The concept of representation has become almost inextricably bound to the concept of symbol systems. the concepts is nowhere more prevalent than in descriptions of "internal representations." These representations are thought to occur in an internal symbol system that allows the brain to store and use information. In this paper we explore a different approach to understanding psychological processes, one that retains a commitment to representations and computations but that is not based on the idea that information must be (...)
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  32.  49
    Axel Gelfert (2015). Symbol Systems as Collective Representational Resources: Mary Hesse, Nelson Goodman, and the Problem of Scientific Representation. Social Epistemology Review and Reply Collective 4 (6):52-61.
    This short paper grew out of an observation—made in the course of a larger research project—of a surprising convergence between, on the one hand, certain themes in the work of Mary Hesse and Nelson Goodman in the 1950/60s and, on the other hand, recent work on the representational resources of science, in particular regarding model-based representation. The convergence between these more recent accounts of representation in science and the earlier proposals by Hesse and Goodman consists in the (...)
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  33.  66
    Axel Gelfert (2011). Mathematical Formalisms in Scientific Practice: From Denotation to Model-Based Representation. Studies in History and Philosophy of Science 42 (2):272-286.
    The present paper argues that ‘mature mathematical formalisms’ play a central role in achieving representation via scientific models. A close discussion of two contemporary accounts of how mathematical models apply—the DDI account (according to which representation depends on the successful interplay of denotation, demonstration and interpretation) and the ‘matching model’ account—reveals shortcomings of each, which, it is argued, suggests that scientific representation may be ineliminably heterogeneous in character. In order to achieve a degree of unification that is (...)
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  34. Pete Mandik (2003). Varieties of Representation in Evolved and Embodied Neural Networks. Biology and Philosophy 18 (1):95-130.
    In this paper I discuss one of the key issuesin the philosophy of neuroscience:neurosemantics. The project of neurosemanticsinvolves explaining what it means for states ofneurons and neural systems to haverepresentational contents. Neurosemantics thusinvolves issues of common concern between thephilosophy of neuroscience and philosophy ofmind. I discuss a problem that arises foraccounts of representational content that Icall ``the economy problem'': the problem ofshowing that a candidate theory of mentalrepresentation can bear the work requiredwithin in the causal economy of a mind and (...)
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  35.  58
    Charles Rathkopf (2015). Network Representation and Complex Systems. Synthese:1-24.
    In this article, network science is discussed from a methodological perspective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex. Rather than using idealization techniques to strip those properties away, as is standard practice in other areas of science, network science brings them to the fore, and uses them to furnish new forms of explanation. The second thesis is that network representations are particularly helpful in explaining the properties (...)
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  36. Marcello Frixione & Antonio Lieto (2013). Dealing with Concepts: From Cognitive Psychology to Knowledge Representation. Frontiers of Psychological and Behevioural Science 2 (3):96-106.
    Concept representation is still an open problem in the field of ontology engineering and, more generally, of knowledge representation. In particular, the issue of representing “non classical” concepts, i.e. concepts that cannot be defined in terms of necessary and sufficient conditions, remains unresolved. In this paper we review empirical evidence from cognitive psychology, according to which concept representation is not a unitary phenomenon. On this basis, we sketch some proposals for concept representation, taking into account suggestions (...)
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  37. Rick Grush (2000). Self, World and Space: The Meaning and Mechanisms of Ego- and Allocentric Spatial Representation. [REVIEW] Brain and Mind 1 (1):59-92.
    b>: The problem of how physical systems, such as brains, come to represent themselves as subjects in an objective world is addressed. I develop an account of the requirements for this ability that draws on and refines work in a philosophical tradition that runs from Kant through Peter Strawson to Gareth Evans. The basic idea is that the ability to represent oneself as a subject in a world whose existence is independent of oneself involves the ability to represent space, (...)
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  38.  29
    Ben Blumson (2014). Resemblance and Representation. Open Book Publishers.
    It’s a platitude – which only a philosopher would dream of denying – that whereas words are connected to what they represent merely by arbitrary conventions, pictures are connected to what they represent by resemblance. The most important difference between my portrait and my name, for example, is that whereas my portrait and I are connected by my portrait’s resemblance to me, my name and I are connected merely by an arbitrary convention. The first aim of this book is to (...)
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  39.  28
    Mark Rowlands (forthcoming). Arguing About Representation. Synthese:1-18.
    The question of whether cognition requires representations has engendered heated discussion during the last two decades. I shall argue that the question is, in all likelihood, a spurious one. There may or may not be a fact of the matter concerning whether a given item qualifies as a representation. However, even if there is, attempts to establish whether cognition requires representation have neither practical nor theoretical utility.
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  40. Deborah Osberg, Gert Biesta & Paul Cilliers (2008). From Representation to Emergence: Complexity's Challenge to the Epistemology of Schooling. Educational Philosophy and Theory 40 (1):213–227.
    In modern, Western societies the purpose of schooling is to ensure that school-goers acquire knowledge of pre-existing practices, events, entities and so on. The knowledge that is learned is then tested to see if the learner has acquired a correct or adequate understanding of it. For this reason, it can be argued that schooling is organised around a representational epistemology: one which holds that knowledge is an accurate representation of something that is separate from knowledge itself. Since the object (...)
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  41.  60
    Jiri Benovsky (2015). Alethic Modalities, Temporal Modalities, and Representation. Kriterion: Journal of Philosophy 29:18-34.
    In this article, I am interested in four versions of what is often referred to as "the Humphrey objection". This objection was initially raised by Kripke against Lewis's modal counterpart theory, so this is where I will start the discussion. As we will see, there is a perfectly good answer to the objection. I will then examine other places where a similar objection can be raised: it can arise in the case of temporal counterpart theory (in fact, it can arise (...)
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  42.  20
    Brandon Boesch, Representation, Scientific. Internet Encyclopedia of Philosophy.
    The article constitutes a detailed overview of the most important background literature on the topic of scientific <span class='Hi'>representation</span>. It gives a detailed outline of many of the important philosophical accounts of scientific <span class='Hi'>representation</span>. The primary division is between substantive accounts and deflationary/pragmatic accounts. Objections to each type of account are considered. Insights from the literature on modelling are discussed along with an overview of some of the insights from the sociology of science.
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  43. Matthew Katz (2008). Analog and Digital Representation. Minds and Machines 18 (3):403-408.
    In this paper, I argue for three claims. The first is that the difference between analog and digital representation lies in the format and not the medium of representation. The second is that whether a given system is analog or digital will sometimes depend on facts about the user of that system. The third is that the first two claims are implicit in Haugeland's (1998) account of the distinction.
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  44. Arthur B. Markman & Eric Dietrich (2000). In Defense of Representation. Cognitive Psychology 40 (2):138--171.
    The computational paradigm, which has dominated psychology and artificial intelligence since the cognitive revolution, has been a source of intense debate. Recently, several cognitive scientists have argued against this paradigm, not by objecting to computation, but rather by objecting to the notion of representation. Our analysis of these objections reveals that it is not the notion of representation per se that is causing the problem, but rather specific properties of representations as they are used in various psychological theories. (...)
     
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  45. Jacqueline Anne Sullivan (2010). A Role for Representation in Cognitive Neurobiology. Philosophy of Science (Supplement) 77 (5):875-887.
    What role does the concept of representation play in the contexts of experimentation and explanation in cognitive neurobiology? In this article, a distinction is drawn between minimal and substantive roles for representation. It is argued by appeal to a case study that representation currently plays a role in cognitive neurobiology somewhere in between minimal and substantive and that this is problematic given the ultimate explanatory goals of cognitive neurobiological research. It is suggested that what is needed is (...)
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  46.  60
    Andy Clark & S. Thornton (1997). Trading Spaces: Computation, Representation, and the Limits of Uninformed Learning. Behavioral and Brain Sciences 20 (1):57-66.
    Some regularities enjoy only an attenuated existence in a body of training data. These are regularities whose statistical visibility depends on some systematic recoding of the data. The space of possible recodings is, however, infinitely large type-2 problems. they are standardly solved! This presents a puzzle. How, given the statistical intractability of these type-2 cases, does nature turn the trick? One answer, which we do not pursue, is to suppose that evolution gifts us with exactly the right set of recoding (...)
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  47. Jiri Benovsky (2012). Photographic Representation and Depiction of Temporal Extension. Inquiry 55 (2):194-213.
    The main task of this paper is to understand if and how static images like photographs can represent and/or depict temporal extension (duration). In order to do this, a detour will be necessary to understand some features of the nature of photographic representation and depiction in general. This important detour will enable us to see that photographs (can) have a narrative content, and that the skilled photographer can 'tell a story' in a very clear sense, as well as control (...)
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  48.  25
    Alistair M. C. Isaac (2013). Modeling Without Representation. Synthese 190 (16):3611-3623.
    How can mathematical models which represent the causal structure of the world incompletely or incorrectly have any scientific value? I argue that this apparent puzzle is an artifact of a realist emphasis on representation in the philosophy of modeling. I offer an alternative, pragmatic methodology of modeling, inspired by classic papers by modelers themselves. The crux of the view is that models developed for purposes other than explanation may be justified without reference to their representational properties.
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  49.  43
    Paweł Gładziejewski (2015). Action Guidance is Not Enough, Representations Need Correspondence Too: A Plea for a Two-Factor Theory of Representation. New Ideas in Psychology:doi:10.1016/j.newideapsych.2015..
    The aim of this article is to critically examine what I call Action-Centric Theories of Representation (ACToRs). I include in this category theories of representation that (1) reject construing representation in terms of a relation that holds between representation itself (the representational vehicle) and what is represented, and instead (2) try to bring the function that representations play for cognitive systems to the center stage. Roughly speaking, according to proponents of ACToRs, what makes a representation (...)
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  50.  59
    Shimon Edelman (1998). Representation is Representation of Similarities. Behavioral and Brain Sciences 21 (4):449-467.
    Intelligent systems are faced with the problem of securing a principled (ideally, veridical) relationship between the world and its internal representation. I propose a unified approach to visual representation, addressing both the needs of superordinate and basic-level categorization and of identification of specific instances of familiar categories. According to the proposed theory, a shape is represented by its similarity to a number of reference shapes, measured in a high-dimensional space of elementary features. This amounts to embedding the stimulus (...)
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