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Explanation in Cognitive Science

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  1. Ken Aizawa, Centenary College of Louisiana.
    Carl Gillett Department of Philosophy Northern Illinois University Suppose that scientists discover a high level property G that is prima facie multiply realized by two sets of lower level properties, F1, F2, …, Fn, and F*1, F*2, …, F*m. One response would be to take this situation at face value and conclude that G is in fact so multiply realized. A second response, however, would be to eliminate the property G and instead hypothesize subtypes of G, G1 and G2, and (...)
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  2. Fritz Allhoff (2010). Philosophies of the Sciences. Wiley-Blackwell.
    The essays are written by leading scholars in a highly accessible style for the student audience Presents and discusses central debates in the field, making it ...
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  3. Edison Barrios (forthcoming). Knowledge of Grammar and Concept Possession. British Journal for the Philosophy of Science:-.
    This paper deals with the cognitive relationship between a speaker and her internal grammar. In particular, it takes issue with the view that such a relationship is one of belief or knowledge (I call this view the ‘Propositional Attitude View’, or PAV). I first argue that PAV entails that all ordinary speakers (tacitly) possess technical concepts belonging to syntactic theory, and second, that most ordinary speakers do not in fact possess such concepts. Thus, it is concluded that speakers do not (...)
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  4. William P. Bechtel (1982). Two Common Errors in Explaining Biological and Psychological Phenomena. Philosophy of Science 49 (December):549-574.
    One way in which philosophy of science can perform a valuable normative function for science is by showing characteristic errors made in scientific research programs and proposing ways in which such errors can be avoided or corrected. This paper examines two errors that have commonly plagued research in biology and psychology: 1) functional localization errors that arise when parts of a complex system are assigned functions which these parts are not themselves able to perform, and 2) vacuous functional explanations in (...)
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  5. William Bechtel & Mitchell Herschbach (2010). Philosophy of the Cognitive Sciences. In Fritz Allhoff (ed.), Philosophies of the Sciences. Wiley-Blackwell.
    Cognitive science is an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in cognitive science, while the third focuses (...)
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  6. William Bechtel & Benjamin Sheredos, HIT on the Psychometric Approach.
    Traditionally, identity and supervenience have been proposed in philosophy of mind as metaphysical accounts of how mental activities (fully understood, as they might be at the end of science) relate to brain processes. Kievet et al. suggest that to be relevant to cognitive neuroscience, these philosophical positions must make empirically testable claims and be evaluated accordingly – they cannot sit on the sidelines, awaiting the hypothetical completion of cognitive neuroscience. We agree with the authors on the importance of rendering these (...)
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  7. William Bechtel & Cory D. Wright (2009). What is Psychological Explanation? In P. Calvo & J. Symons (eds.), Routledge Companion to the Philosophy of Psychology. Routledge.
    Due to the wide array of phenomena that are of interest to them, psychologists offer highly diverse and heterogeneous types of explanations. Initially, this suggests that the question "What is psychological explanation?" has no single answer. To provide appreciation of this diversity, we begin by noting some of the more common types of explanations that psychologists provide, with particular focus on classical examples of explanations advanced in three different areas of psychology: psychophysics, physiological psychology, and information-processing psychology. To analyze what (...)
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  8. Robert Borger (1970). Explanation In The Behavioural Sciences. Cambridge University Press.
    A confrontation of views written by distinguished figures concerned with the behavioural and social sciences.
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  9. Robert W. Burch (1978). Functional Explanation and Normalcy. Southwestern Journal of Philosophy 9 (1):45-53.
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  10. Lawrence R. Carleton (1985). Levels in Description and Explanation. Philosophy Research Archives 11:89-109.
    Various authors insist that some body of natural phenomena are legitimately describable or explainable only on one level of description, and would disqualify any description not confined to that level. None offers an acceptable definition explicitly. I extract such a definition I find implicit in the work of two such authors, J.J. Gibson and Hubert Dreyfus, and modify the result to render it more defensible philosophically. I also criticize the definition Shaw and Turvey offer, demonstrate some applications of my definition, (...)
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  11. Andy Clark (1998). Twisted Tales: Causal Complexity and Cognitive Scientific Explanation. Minds and Machines 8 (1):79-99.
    Recent work in biology and cognitive science depicts a variety of target phenomena as the products of a tangled web of causal influences. Such influences may include both internal and external factors as well as complex patterns of reciprocal causal interaction. Such twisted tales are sometimes seen as a threat to explanatory strategies that invoke notions such as inner programs, genes for and sometimes even internal representations. But the threat, I shall argue, is more apparent than real. Complex causal influence, (...)
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  12. Axel Cleeremans & Luis Jimenez (1999). Stability and Explicitness: In Defense of Implicit Representation. Behavioral and Brain Sciences 22 (1):151-152.
    Electronic Mail: jimenez@usc.es Abstract Stability of activation, while it may be necessary for information to become available to consciousness, is not sufficient to produce phenomenal experience. We suggest that consciousness involves access to information and that access makes information symbolic. From this perspective, implicit representations exist, and are best thought of as sub-symbolic. Crucially, such representations can be causally efficacious in the absence of consciousness.
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  13. Max Coltheart & Robyn Langdon (1998). Autism, Modularity and Levels of Explanation in Cognitive Science. Mind and Language 13 (1):138-152.
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  14. Hanne De Jaegher (2009). What Made Me Want the Cheese? A Reply to Shaun Gallagher and Dan Hutto. Consciousness & Cognition 18 (2):549-550.
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  15. Hanne De Jaegher (2009). Social Understanding Through Direct Perception? Yes, by Interacting. Consciousness & Cognition 18 (2):535-542.
    This paper comments on Gallagher’s recently published direct perception proposal about social cognition [Gallagher, S. (2008a). Direct perception in the intersubjective context. Consciousness and Cognition, 17(2), 535–543]. I show that direct perception is in danger of being appropriated by the very cognitivist accounts criticised by Gallagher (theory theory and simulation theory). Then I argue that the experiential directness of perception in social situations can be understood only in the context of the role of the interaction process in social cognition. I (...)
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  16. Hanne De Jaegher & Tom Froese (2009). On the Role of Social Interaction in Individual Agency. Adaptive Behavior 17 (5):444-460.
    Is an individual agent constitutive of or constituted by its social interactions? This question is typically not asked in the cognitive sciences, so strong is the consensus that only individual agents have constitutive efficacy. In this article we challenge this methodological solipsism and argue that interindividual relations and social context do not simply arise from the behavior of individual agents, but themselves enable and shape the individual agents on which they depend. For this, we define the notion of autonomy as (...)
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  17. Andrew A. Fingelkurts & Alexander A. Fingelkurts (2004). Making Complexity Simpler: Multivariability and Metastability in the Brain. International Journal of Neuroscience 114 (7):843 - 862.
    This article provides a retrospective, current and prospective overview on developments in brain research and neuroscience. Both theoretical and empirical studies are considered, with emphasis in the concept of multivariability and metastability in the brain. In this new view on the human brain, the potential multivariability of the neuronal networks appears to be far from continuous in time, but confined by the dynamics of short-term local and global metastable brain states. The article closes by suggesting some of the implications of (...)
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  18. Bradley Franks (1995). On Explanation in Cognitive Science: Competence, Idealization, and the Failure of the Classical Cascade. British Journal for the Philosophy of Science 46 (4):475-502.
    underpinning of the cognitive sciences. I argue, however, that it often fails to provide adequate explanations, in particular in conjunction with competence theories. This failure originates in the idealizations in competence descriptions, which either ?block? the cascade, or produce a successful cascade which fails to explain cognition.
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  19. Thomas Fuchs & Hanne de Jaegher (2009). Enactive Intersubjectivity: Participatory Sense-Making and Mutual Incorporation. Phenomenology and the Cognitive Sciences 8 (4).
    Current theories of social cognition are mainly based on a representationalist view. Moreover, they focus on a rather sophisticated and limited aspect of understanding others, i.e. on how we predict and explain others’ behaviours through representing their mental states. Research into the ‘social brain’ has also favoured a third-person paradigm of social cognition as a passive observation of others’ behaviour, attributing it to an inferential, simulative or projective process in the individual brain. In this paper, we present a concept of (...)
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  20. Gerd Gigerenzer & Thomas Sturm (2007). Tools=Theories=Data? On Some Circular Dynamics in Cognitive Science. In Mitchell G. Ash & Thomas Sturm (eds.), Psychology’s Territories: Historical and Contemporary Perspectives from Different Disciplines. Erlbaum.
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  21. Daniel Gilman (1996). Optimization and Simplicity: Computational Vision and Biological Explanation. Synthese 107 (3):293 - 323.
    David Marr's theory of vision has been a rich source of inspiration, fascination and confusion. I will suggest that some of this confusion can be traced to discrepancies between the way Marr developed his theory in practice and the way he suggested such a theory ought to be developed in his explicit metatheoretical remarks. I will address claims that Marr's theory may be seen as an optimizing theory, along with the attendant suggestion that optimizing assumptions may be inappropriate for cognitive (...)
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  22. Luis Jimenez & Axel Cleeremans (1999). Fishing with the Wrong Nets: How the Implicit Slips Through the Representational Theory of Mind. Behavioral and Brain Sciences 22 (771).
    that depart radically from classical assumptions.
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  23. Frank C. Keil & Robert A. Wilson (2000). Explanation and Cognition. MIT Press.
    These essays draw on work in the history and philosophy of science, the philosophy of mind and language, the development of concepts in children, conceptual...
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  24. Thomas Metzinger (2008). Empirical Perspectives From the Self-Model Theory of Subjectivity: A Brief Summary with Examples. In Rahul Banerjee & B. K. Chakrabarti (eds.), Models of Brain and Mind: Physical, Computational, and Psychological Approaches. Elsevier.
    In Rahul Banerjee and Bikas K. Chakrabarti (eds.), Progress in Brain Research, 168: 215-246. Amsterdam: Elsevier. Electronic offprint available upon request.
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  25. Richard Montgomery (1998). Grades of Explanation in Cognitive Science. Synthese 114 (3):463-495.
    I sketch an explanatory framework that fits a variety of contemporary research programs in cognitive science. I then investigate the scope and the implications of this framework. The framework emphasizes (a) the explanatory role played by the semantic content of cognitive representations, and (b) the important mechanistic, non-intentional dimension of cognitive explanations. I show how both of these features are present simultaneously in certain varieties of cognitive explanation. I also consider the explanatory role played by grounded representational content, that is, (...)
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  26. Richard Montgomery (1995). Explanation and Evaluation in Cognitive Science. Philosophy of Science 62 (2):261-82.
    With some regularity, cognitive scientists seem to introduce cognitive values into their explanations. After identifying examples of this practice, I sketch an account of psychological explanation that, under certain conditions, legitimizes value-laden cognitive explanations in which evaluative claims appear in the explanandum. I then present and discuss two applications of the proposed account in order to show its viability and explore its consequences.
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  27. Michiru Nagatsu (forthcoming). The Limits of Unification for Theory Appraisal: A Case of Economics and Psychology. Synthese.
    In this paper I examine Don Ross’s application of unificationism as a methodological criterion of theory appraisal in economics and cognitive science. Against Ross’s critique that explanations of the preference reversal phenomenon by the ‘heuristics and biases’ programme is ad hoc or ‘Ptolemaic’, I argue that the compatibility hypothesis, one of the explanations offerd by this programme, is theoretically and empirically well-motivated. A careful examination of this hypothesis suggests several strengths of a procedural approach to modelling cognitive processes underlying individual (...)
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  28. Susan Schneider (2007). Yes, It Does: A Diatribe on Jerry Fodor's the Mind Doesn't Work That Way. Psyche.
    The Mind Doesn’t Work That Way is an expose of certain theoretical problems in cognitive science, and in particular, problems that concern the Classical Computational Theory of Mind (CTM). The problems that Fodor worries plague CTM divide into two kinds, and both purport to show that the success of cognitive science will likely be limited to the modules. The first sort of problem concerns what Fodor has called “global properties”; features that a mental sentence has which depend on how the (...)
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  29. Neil Van Leeuwen (2011). Imagination is Where the Action Is. Journal of Philosophy 108 (2):55-77.
    Imaginative representations are crucial to the generation of action--both pretense and plain action. But well-known theories of imagination on offer in the literature [1] fail to describe how perceptually-formatted imaginings (mental images) and motor imaginings function in the generation of action and [2] fail to recognize the important fact that spatially rich imagining can be integrated into one's perceptual manifold. In this paper, I present a theory of imagining that shows how spatially rich imagining functions in the generation of action. (...)
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  30. Iris van Rooij, Cory D. Wright & Todd Wareham (forthcoming). Intractability and the Use of Heuristics in Psychological Explanations. Synthese.
    Many cognitive scientists, having discovered that some computational-level characterization f of a cognitive capacity φ is intractable, invoke heuristics as algorithmic-level explanations of how cognizers compute f. We argue that such explanations are actually dysfunctional, and rebut five possible objections. We then propose computational-level theory revision as a principled and workable alternative.
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  31. Robert A. Wilson & Frank C. Keil (1998). The Shadows and Shallows of Explanation. Minds and Machines 8 (1):137-159.
    We introduce two notions–the shadows and the shallows of explanation–in opening up explanation to broader, interdisciplinary investigation. The shadows of explanation refer to past philosophical efforts to provide either a conceptual analysis of explanation or in some other way to pinpoint the essence of explanation. The shallows of explanation refer to the phenomenon of having surprisingly limited everyday, individual cognitive abilities when it comes to explanation. Explanations are ubiquitous, but they typically are not accompanied by the depth that we might, (...)
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  32. Cory D. Wright (2008). Embodied Cognition: Grounded Until Further Notice? British Journal of Psychology 99:157-164.
    Embodied Cognition is the kind of view that is all trees, no forest. Mounting experimental evidence gives it momentum in fleshing out the theoretical problems inherent in Cognitivists’ separation of mind and body. But the more its proponents compile such evidence, the more the fundamental concepts of Embodied Cognition remain in the dark. This conundrum is nicely exemplified by Pecher and Zwaan’s (2005) book, Grounding Cognition, which is a programmatic attempt to rally together an array of empirical results and linguistic (...)
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  33. Cory D. Wright (2007). Is Psychological Explanation Going Extinct? In Huib Looren de Jong & Maurice Schouten (eds.), The Matter of the Mind: Philosophical Essays on Psychology, Neuroscience and Reduction. Oxford: Blackwell.
    Psychoneural reductionists sometimes claim that sufficient amounts of lower-level explanatory achievement preclude further contributions from higher-level psychological research. Ostensibly, with nothing left to do, the effect of such preclusion on psychological explanation is extinction. Reductionist arguments for preclusion have recently involved a reorientation within the philosophical foundations of neuroscience---namely, away from the philosophical foundations and toward the neuroscience. In this chapter, I review a successful reductive explanation of an aspect of reward function in terms of dopaminergic operations of the mesocorticolimbic (...)
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  34. Cory D. Wright & William P. Bechtel (2007). Mechanisms and Psychological Explanation. In Paul Thagard (ed.), Philosophy of Psychology and Cognitive Science. Elsevier.
    As much as assumptions about mechanisms and mechanistic explanation have deeply affected psychology, they have received disproportionately little analysis in philosophy. After a historical survey of the influences of mechanistic approaches to explanation of psychological phenomena, we specify the nature of mechanisms and mechanistic explanation. Contrary to some treatments of mechanistic explanation, we maintain that explanation is an epistemic activity that involves representing and reasoning about mechanisms. We discuss the manner in which mechanistic approaches serve to bridge levels rather than (...)
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  35. Wayne Wu (2012). Explaining Schizophrenia: Auditory Verbal Hallucination and Self-Monitoring. Mind and Language 27 (1):86-107.
    Do self-monitoring accounts, a dominant account of the positive symptoms, explain auditory verbal hallucination (AVH)? In this essay, I argue that the account fails to answer many crucial questions any explanation of AVH must address. Where the account provides a plausible answer, I make a case for an alternative explanation: AVH is not the result of a failed control mechanism, namely failed self-monitoring, but the persistent automaticity of auditory experience of a voice. The argument emphasizes the importance of careful examination (...)
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  36. Carlos Zednik (2011). The Nature of Dynamical Explanation. Philosophy of Science 78 (2):238-263.
    The received view of dynamical explanation is that dynamical cognitive science seeks to provide covering law explanations of cognitive phenomena. By analyzing three prominent examples of dynamicist research, I show that the received view is misleading: some dynamical explanations are mechanistic explanations, and in this way resemble computational and connectionist explanations. Interestingly, these dynamical explanations invoke the mathematical framework of dynamical systems theory to describe mechanisms far more complex and distributed than the ones typically considered by philosophers. Therefore, contemporary dynamicist (...)
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