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  1. Local representations without the locality assumption.A. Mike Burton & Vicki Bruce - 1994 - Behavioral and Brain Sciences 17 (1):62-63.
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  • Looking inside monkey minds: Milestone or millstone.Gordon M. Burghardt - 1992 - Behavioral and Brain Sciences 15 (1):150-151.
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  • Fodor on imagistic mental representations.Daniel C. Burnston - 2020 - Rivista Internazionale di Filosofia e Psicologia 11 (1):71-94.
    : Fodor’s view of the mind is thoroughly computational. This means that the basic kind of mental entity is a “discursive” mental representation and operations over this kind of mental representation have broad architectural scope, extending out to the edges of perception and the motor system. However, in multiple epochs of his work, Fodor attempted to define a functional role for non-discursive, imagistic representation. I describe and critique his two considered proposals. The first view says that images play a particular (...)
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  • An evolutionary theory of schizophrenia: Cortical connectivity, metarepresentation, and the social brain.Jonathan Kenneth Burns - 2004 - Behavioral and Brain Sciences 27 (6):831-855.
    Schizophrenia is a worldwide, prevalent disorder with a multifactorial but highly genetic aetiology. A constant prevalence rate in the face of reduced fecundity has caused some to argue that an evolutionary advantage exists in unaffected relatives. Here, I critique this adaptationist approach, and review – and find wanting – Crow's “speciation” hypothesis. In keeping with available biological and psychological evidence, I propose an alternative theory of the origins of this disorder. Schizophrenia is a disorder of the social brain, and it (...)
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  • “Semantic procedure” is an oxymoron.Alan Bundy - 1993 - Behavioral and Brain Sciences 16 (2):339-340.
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  • Understanding the Emergence of Modularity in Neural Systems.John A. Bullinaria - 2007 - Cognitive Science 31 (4):673-695.
    Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when, and how they emerge. It is a natural assumption that modularity offers some form of computational advantage, and hence evolution by natural selection has translated those advantages into the kind of modular neural structures familiar to cognitive scientists. However, simulations of the evolution of simplified neural systems have shown that, in many cases, it is actually non-modular architectures that (...)
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  • Simulating nonlocal systems: Rules of the game.John A. Bullinaria - 1994 - Behavioral and Brain Sciences 17 (1):61-62.
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  • Get Over: Massive modularity. [REVIEW]David J. Buller - 2005 - Biology and Philosophy 20 (4):881-891.
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  • Evolutionary psychology, meet developmental neurobiology: Against promiscuous modularity.David J. Buller & Valerie Gray Hardcastle - 2000 - Brain and Mind 1 (3):307-25.
    Evolutionary psychologists claim that the mind contains “hundreds or thousands” of “genetically specified” modules, which are evolutionary adaptations for their cognitive functions. We argue that, while the adult human mind/brain typically contains a degree of modularization, its “modules” are neither genetically specified nor evolutionary adaptations. Rather, they result from the brain’s developmental plasticity, which allows environmental task demands a large role in shaping the brain’s information-processing structures. The brain’s developmental plasticity is our fundamental psychological adaptation, and the “modules” that result (...)
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  • Double dissociation, modularity, and distributed organization.John A. Bullinaria & Nick Chater - 1996 - Behavioral and Brain Sciences 19 (4):632-632.
    Müller argues that double dissociations do not imply underlying modularity of the cognitive system, citing neural networks as examples of fully distributed systems that can give rise to double dissociations. We challenge this claim, noting that suchdouble dissociations typically do not “scale-up,” and that even some singledissociations can be difficult to account for in a distributed system.
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  • Confirmation and the computational paradigm, or, why do you think they call it artificial intelligence?David J. Buller - 1993 - Minds and Machines 3 (2):155-81.
    The idea that human cognitive capacities are explainable by computational models is often conjoined with the idea that, while the states postulated by such models are in fact realized by brain states, there are no type-type correlations between the states postulated by computational models and brain states (a corollary of token physicalism). I argue that these ideas are not jointly tenable. I discuss the kinds of empirical evidence available to cognitive scientists for (dis)confirming computational models of cognition and argue that (...)
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  • Confirmation and the computational paradigm (or: Why do you think they call itartificial intelligence?). [REVIEW]David J. Buller - 1993 - Minds and Machines 3 (2):155-181.
    The idea that human cognitive capacities are explainable by computational models is often conjoined with the idea that, while the states postulated by such models are in fact realized by brain states, there are no type-type correlations between the states postulated by computational models and brain states (a corollary of token physicalism). I argue that these ideas are not jointly tenable. I discuss the kinds of empirical evidence available to cognitive scientists for (dis)confirming computational models of cognition and argue that (...)
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  • Contemporary Concept Nativism: Some Methodological Remarks.Ilya Y. Bulov - 2019 - Russian Journal of Philosophical Sciences 62 (7):96-109.
    The innate knowledge problem is a classical problem in philosophy, which has been known since the classical antiquity. Plato in his dialogues Meno and Phaedo formulated the doctrine of innate ideas and proposed an early version of the poverty of the stimulus argument, which is the most frequently used argument in innate knowledge debates. In the history of philosophy there was also an opposite view. This approach is often associated with J. Locke’s philosophy. Locke thought that all our knowledge about (...)
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  • The central executive system.Denis Buehler - 2018 - Synthese 195 (5):1969-1991.
    Executive functioning has been said to bear on a range of traditional philosophical topics, such as consciousness, thought, and action. Surprisingly, philosophers have not much engaged with the scientific literature on executive functioning. This lack of engagement may be due to several influential criticisms of that literature by Daniel Dennett, Alan Allport, and others. In this paper I argue that more recent research on executive functioning shows that these criticisms are no longer valid. The paper clears the way to a (...)
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  • Skilled Guidance.Denis Buehler - 2021 - Review of Philosophy and Psychology 12 (3):641-667.
    Skilled action typically requires that individuals guide their activities toward some goal. In skilled action, individuals do so excellently. We do not understand well what this capacity to guide consists in. In this paper I provide a case study of how individuals shift visual attention. Their capacity to guide visual attention toward some goal (partly) consists in an empirically discovered sub-system – the executive system. I argue that we can explain how individuals guide by appealing to the operation of this (...)
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  • Agential capacities: a capacity to guide.Denis Buehler - 2021 - Philosophical Studies 179 (1):21-47.
    In paradigm exercises of agency, individuals guide their activities toward some goal. A central challenge for action theory is to explain how individuals guide. This challenge is an instance of the more general problem of how to accommodate individuals and their actions in the natural world, as explained by natural science. Two dominant traditions–primitivism and the causal theory–fail to address the challenge in a satisfying way. Causal theorists appeal to causation by an intention, through a feedback mechanism, in explaining guidance. (...)
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  • The Scan‐Copier Mechanism and the Positional Level of Language Production: Evidence from Phonemic Paraphasia.Hugh W. Buckingham - 1986 - Cognitive Science 10 (2):195-217.
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  • Rational Inference: The Lowest Bounds.Cameron Buckner - 2017 - Philosophy and Phenomenological Research (3):1-28.
    A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision-making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...)
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  • Rational Inference: The Lowest Bounds.Cameron Buckner - 2019 - Philosophy and Phenomenological Research 98 (3):697-724.
    A surge of empirical research demonstrating flexible cognition in animals and young infants has raised interest in the possibility of rational decision‐making in the absence of language. A venerable position, which I here call “Classical Inferentialism”, holds that nonlinguistic agents are incapable of rational inferences. Against this position, I defend a model of nonlinguistic inferences that shows how they could be practically rational. This model vindicates the Lockean idea that we can intuitively grasp rational connections between thoughts by developing the (...)
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  • Is the language of intentional psychology an efficient tool for evolutionists?Björn Brunnander - 2008 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 39 (1):147-152.
    The language of intentional psychology is commonly used as a means of addressing issues concerning selection. This habit is generally considered an efficient shorthand, but oft-reported misunderstandings leave room for doubt. I stress the general point that efficiency of a mode of expression is an empirical matter, deserving the same treatment, theoretically and methodologically, as other such matters. Mistaken assumptions regarding the relevant cognitive capacities may make for inefficient communication, and discourse about human evolution is a plausible case in point.
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  • How can cognitive neuropsychology be of value in understanding central processing?Gail A. Bruder - 1991 - Behavioral and Brain Sciences 14 (3):441-442.
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  • Unconscious Imagination and the Mental Imagery Debate.Berit Brogaard & Dimitria Electra Gatzia - 2017 - Frontiers in Psychology 8.
    Traditionally, philosophers have appealed to the phenomenological similarity between visual experience and visual imagery to support the hypothesis that there is significant overlap between the perceptual and imaginative domains. The current evidence, however, is inconclusive: while evidence from transcranial brain stimulation seems to support this conclusion, neurophysiological evidence from brain lesion studies (e.g., from patients with brain lesions resulting in a loss of mental imagery but not a corresponding loss of perception and vice versa) indicates that there are functional and (...)
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  • The Maltese cross: A new simplistic model for memory.Donald E. Broadbent - 1984 - Behavioral and Brain Sciences 7 (1):55-68.
    This paper puts forward a general framework for thought about human information processing. It is intended to avoid some of the problems of pipeline or stage models of function. At the same time it avoids the snare of supposing a welter of indefinitely many separate processes. The approach is not particularly original, but rather represents the common elements or presuppositions in a number of modern theories. These presuppositions are not usually explicit, however, and making them so reduces the danger of (...)
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  • Perception Without Representation? On Travis’s Argument Against the Representational View of Perception.Berit Brogaard - 2017 - Topoi 36 (2):273-286.
    In this paper I begin by considering Travis’s main argument against a representational view of experience. I argue that the argument succeeds in showing that representation is not essential to experience. However, I argue that it does not succeed in showing that representation is not an essential component of experience enjoyed by creatures like us. I then provide a new argument for thinking that the perceptual experience of earthly creatures is representational. The view that ensues is compatible with a certain (...)
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  • Nonreductionism, content and evolutionary explanation.Justin Broackes - 1992 - Behavioral and Brain Sciences 15 (1):31-32.
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  • Minds Within Minds: An Infinite Descent of Mentality in a Physical World.Christopher Devlin Brown - 2017 - Erkenntnis 82 (6):1339-1350.
    Physicalism is frequently understood as the thesis that everything depends upon a fundamental physical level. This standard formulation of physicalism has a rarely noted and arguably unacceptable consequence—it makes physicalism come out false in worlds which have no fundamental level, for instance worlds containing things which can infinitely decompose into smaller and smaller parts. If physicalism is false, it should not be for this reason. Thus far, there is only one proposed solution to this problem, and it comes from the (...)
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  • Modules in models of memory.Donald E. Broadbent - 1984 - Behavioral and Brain Sciences 7 (1):86-94.
    This paper puts forward a general framework for thought about human information processing. It is intended to avoid some of the problems of pipeline or stage models of function. At the same time it avoids the snare of supposing a welter of indefinitely many separate processes. The approach is not particularly original, but rather represents the common elements or presuppositions in a number of modern theories. These presuppositions are not usually explicit, however, and making them so reduces the danger of (...)
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  • Is Color Experience Cognitively Penetrable?Berit Brogaard & Dimitria E. Gatzia - 2017 - Topics in Cognitive Science 9 (1):193-214.
    Is color experience cognitively penetrable? Some philosophers have recently argued that it is. In this paper, we take issue with the claim that color experience is cognitively penetrable. We argue that the notion of cognitive penetration that has recently dominated the literature is flawed since it fails to distinguish between the modulation of perceptual content by non-perceptual principles and genuine cognitive penetration. We use this distinction to show that studies suggesting that color experience can be modulated by factors of the (...)
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  • Cognitive versatility.Derek Browne - 1996 - Minds and Machines 6 (4):507-23.
    Jerry Fodor divides the mind into peripheral, domain-specific modules and a domaingeneral faculty of central cognition. John Tooby and Lisa Cosmides argue instead that the mind is modular all the way through; cognition consists of a multitude of domain-specific processes. But human thought has a flexible, innovative character that contrasts with the inflexible, stereotyped performances of modular systems. My goal is to discover how minds that are constructed on modular principles might come to exhibit cognitive versatility.Cognitive versatility is exhibited in (...)
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  • Critical Notice. [REVIEW]Andrew Brook - 1998 - Canadian Journal of Philosophy 28 (2):247-268.
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  • Can brains make psychological sense of neurological data?Robert Brown - 1987 - Behavioral and Brain Sciences 10 (2):175-176.
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  • Attractive single gatherer wishes to meet rich, powerful hunter for good time under mongongo tree.Gwen J. Broude - 1993 - Behavioral and Brain Sciences 16 (2):287-289.
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  • Theories of visual masking.Bruce Bridgeman - 1986 - Behavioral and Brain Sciences 9 (1):25-26.
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  • Two kinds of models, many kinds of souls: Shallice on neuropsychology.Bruce Bridgeman - 1991 - Behavioral and Brain Sciences 14 (3):440-441.
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  • Multisensory Processing and Perceptual Consciousness: Part II.Robert Eamon Briscoe - 2017 - Philosophy Compass 12 (12):1-13.
    The first part of this survey article presented a cartography of some of the more extensively studied forms of multisensory processing. In this second part, I turn to examining some of the different possible ways in which the structure of conscious perceptual experience might also be characterized as multisensory. In addition, I discuss the significance of research on multisensory processing and multisensory consciousness for philosophical debates concerning the modularity of perception, cognitive penetration, and the individuation of the senses.
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  • Mimetic culture and modern sports: A synthesis.Bruce Bridgeman & Margarita Azmitia - 1993 - Behavioral and Brain Sciences 16 (4):751-752.
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  • Free will and the functions of consciousness.Bruce Bridgeman - 1985 - Behavioral and Brain Sciences 8 (4):540-540.
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  • Problems with the psychophysics of intention.Bruno G. Breitmeyer - 1985 - Behavioral and Brain Sciences 8 (4):539-540.
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  • Perception is Theory Laden: The Naturalized Evidence and Philosophical Implications.William F. Brewer - 2015 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 46 (1):121-138.
    This paper proposes a set of criteria for an appropriate experiment on the issue of the theory ladenness of perception. These criteria are used to select a number of experiments that use: belief-based ambiguous figures, fragmented figures, or memory color. Crucially, the data in experiments of this type are based on the participant’s qualitative visual experience. Across many different types of experimental designs, different types of stimuli, and different types of belief manipulation, these experiments show the impact of belief/theory on (...)
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  • AI and the Turing model of computation.Thomas M. Breuel - 1990 - Behavioral and Brain Sciences 13 (4):657-657.
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  • Justifying the evidential use of linguistic intuitions.Karen Brøcker - 2020 - Synthese 198 (9):8167-8189.
    Linguistic intuitive judgements are the de facto data source of choice within generative linguistics. But why we are justified in relying on intuitive judgements as evidence for grammars? In the philosophy of linguistics, this question has been hotly debated. I argue that the three most prominent views of that debate all have their problems. Devitt’s Modest Explanation accounts for the wrong kind of intuitive judgements. The Voice of Competence view and Rey’s account both lack independent evidence. I introduce and defend (...)
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  • Using behavior to explain behavior.Marc N. Branch - 1989 - Behavioral and Brain Sciences 12 (3):594-595.
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  • The unbearable lightness of “Thinking”: Moving beyond simple concepts of thinking, rationality, and hypothesis testing.Gary L. Brase & James Shanteau - 2011 - Behavioral and Brain Sciences 34 (5):250-251.
    Three correctives can get researchers out of the trap of constructing unitary theories of “thinking”: (1) Strong inference methods largely avoid problems associated with universal prescriptive normativism; (2) theories must recognize that significant modularity of cognitive processes is antithetical to general accounts of thinking; and (3) consideration of the domain-specificity of rationality render many of the present article's issues moot.
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  • Recursion Hypothesis Considered as a Research Program for Cognitive Science.Pauli Brattico - 2010 - Minds and Machines 20 (2):213-241.
    Humans grasp discrete infinities within several cognitive domains, such as in language, thought, social cognition and tool-making. It is sometimes suggested that any such generative ability is based on a computational system processing hierarchical and recursive mental representations. One view concerning such generativity has been that each of the mind’s modules defining a cognitive domain implements its own recursive computational system. In this paper recent evidence to the contrary is reviewed and it is proposed that there is only one supramodal (...)
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  • “Pop science” versus understanding the emergence of the modern mind.C. Loring Brace - 1993 - Behavioral and Brain Sciences 16 (4):750-751.
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  • Mental models cannot exclude mental logic and make little sense without it.Martin D. S. Braine - 1993 - Behavioral and Brain Sciences 16 (2):338-339.
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  • Another far more ancient tongue.John Bradshaw - 1995 - Behavioral and Brain Sciences 18 (2):385-386.
    Language started evolving early, before gesture; commonalities of generativity between language and praxis have been over-emphasized. Language did not drive hominid brain evolution, evolving multifactorially and interactively. More than communication, it permits a cognitive modelling of reality and hierarchical data management. As the interactive sum of various cognitive and linguistic systems, and of brain structures each semi-independently evolved, it is not part of a single, general-purpose cognitive processor, nor is it a separately-evolved quasi-independent module.
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  • Spatial analysis of brain function:Not the first.Robert M. Boynton - 1987 - Behavioral and Brain Sciences 10 (2):175-175.
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  • Algorithms and physical laws.Franklin Boyle - 1990 - Behavioral and Brain Sciences 13 (4):656-657.
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  • Conscious influences in everyday life and cognitive research.Kenneth S. Bowers - 1991 - Behavioral and Brain Sciences 14 (4):672-673.
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