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  1. Human and computer rules and representations are not equivalent.Stephen Grossberg - 1980 - Behavioral and Brain Sciences 3 (1):136-138.
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  • The Perception‐Action Model: Counting Computational Mechanisms.Thor Grünbaum - 2017 - Mind and Language 32 (4):416-445.
    Milner and Goodale's Two Visual Systems Hypothesis is regarded as common ground in recent discussions of visual consciousness. A central part of TVSH is a functional model of vision and action. In this paper, I provide a brief overview of these current discussions and argue that there is ambiguity between a strong and a weak version of PAM. I argue that, given a standard way of individuating computational mechanisms, the available evidence cannot be used to distinguish between these versions. This (...)
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  • The two visual systems hypothesis and contrastive underdetermination.Thor Grünbaum - 2021 - Synthese 198 (Suppl 17):4045-4068.
    This paper concerns local yet systematic problems of contrastive underdetermination of model choice in cognitive neuroscience debates about the so-called two visual systems hypothesis. The underdetermination problem is systematically generated by the way certain assumptions about the representationalist nature of computation are translated into experimental practice. The problem is that behavioural data underdetermine the choice between competing representational models. In this paper, I diagnose how these assumptions generate underdetermination problems in the choice between competing functional models of perception–action. Using the (...)
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  • Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.
    Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the (...)
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  • On the hazards of relating representations and inductive biases.Thomas L. Griffiths, Sreejan Kumar & R. Thomas McCoy - 2023 - Behavioral and Brain Sciences 46:e275.
    The success of models of human behavior based on Bayesian inference over logical formulas or programs is taken as evidence that people employ a “language-of-thought” that has similarly discrete and compositional structure. We argue that this conclusion problematically crosses levels of analysis, identifying representations at the algorithmic level based on inductive biases at the computational level.
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  • Bayes in the context of suboptimality.Robert A. M. Gregson - 1991 - Behavioral and Brain Sciences 14 (3):497-498.
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  • A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept.Anthony G. Greenwald, Mahzarin R. Banaji, Laurie A. Rudman, Shelly D. Farnham, Brian A. Nosek & Deborah S. Mellott - 2002 - Psychological Review 109 (1):3-25.
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  • Soft constraints in interactive behavior: the case of ignoring perfect knowledge in‐the‐world for imperfect knowledge in‐the‐head*,*.Wayne D. Gray & Wai-Tat Fu - 2004 - Cognitive Science 28 (3):359-382.
    Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies are possible. Soft constraints determine which of the possible microstrategies are most likely to be selected. When selection is non‐deliberate or automatic the least effort microstrategy is chosen. In calculating the effort required to execute a microstrategy each of the three types of operations, memory retrieval, perception, and action, are given equal weight; that is, perceptual‐motor activity does not have (...)
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  • Sensation and classification.George Graham - 1984 - Behavioral and Brain Sciences 7 (4):558.
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  • Some distinctions among representations.M. Gopnik - 1982 - Behavioral and Brain Sciences 5 (3):378-379.
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  • Reasoning About Relations.Geoffrey P. Goodwin & Philip Johnson-Laird - 2005 - Psychological Review 112 (2):468-493.
    Inferences about spatial, temporal, and other relations are ubiquitous. This article presents a novel model-based theory of such reasoning. The theory depends on 5 principles. The structure of mental models is iconic as far as possible. The logical consequences of relations emerge from models constructed from the meanings of the relations and from knowledge. Individuals tend to construct only a single, typical model. They spontaneously develop their own strategies for relational reasoning. Regardless of strategy, the difficulty of an inference depends (...)
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  • Commentary/Elqayam & Evans: Subtracting “ought” from “is”.Natalie Gold, Andrew M. Colman & Briony D. Pulford - 2011 - Behavioral and Brain Sciences 34 (5).
    Normative theories can be useful in developing descriptive theories, as when normative subjective expected utility theory is used to develop descriptive rational choice theory and behavioral game theory. “Ought” questions are also the essence of theories of moral reasoning, a domain of higher mental processing that could not survive without normative considerations.
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  • A Developmental Neural Model of Visual Word Perception.Richard M. Golden - 1986 - Cognitive Science 10 (3):241-276.
    A neurally plausible model of how the process of visually perceiving a letter in the context of a word is learned, and how such processing occurs in adults is proposed. The model consists of a collection of abstract letter feature detector neurons and their interconnections. The model also includes a learning rule that specifies how these interconnections evolve with experience. The interconnections between neurons can be interpreted as representing the spatially redundant, sequentially redundant, and transgraphemic information in letter string displays. (...)
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  • Optimality and psychological explanation.Peter Godfrey-Smith - 1991 - Behavioral and Brain Sciences 14 (3):496-497.
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  • Clarifying the locality assumption.Clark Glymour - 1994 - Behavioral and Brain Sciences 17 (1):69-70.
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  • Temporal cognition and the phenomenology of time: A multiplicative function for apparent duration.Joseph Glicksohn - 2001 - Consciousness and Cognition 10 (1):1-25.
    The literature on time perception is discussed. This is done with reference both to the ''cognitive-timer'' model for time estimation and to the subjective experience of apparent duration. Three assumptions underlying the model are scrutinized. I stress the strong interplay among attention, arousal, and time perception, which is at the base of the cognitive-timer model. It is suggested that a multiplicative function of two key components (the number of subjective time units and their size) should predict apparent duration. Implications for (...)
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  • Computational Imagery.Janice Glasgow & Dimitri Papadias - 1992 - Cognitive Science 16 (3):355-394.
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  • Does the environment have the same structure as Bayes' theorem?Gerd Gigerenzer - 1991 - Behavioral and Brain Sciences 14 (3):495-496.
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  • Beyond Helmholtz, or why not include inner determinants from the beginning?Hans-Georg Geissler - 1991 - Behavioral and Brain Sciences 14 (3):494-495.
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  • Private reference.K. R. Garrett - 1984 - Behavioral and Brain Sciences 7 (4):557.
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  • Clinical neuropsychology and the left-hemisphere dominance for language.G. Gainotti - 1981 - Behavioral and Brain Sciences 4 (1):70-71.
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  • The mental representation of action.Jennifer J. Freyd - 1983 - Behavioral and Brain Sciences 6 (1):145-146.
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  • Motor factors in perception: Limitations in empirical and hierarchical analysis.David Freides - 1979 - Behavioral and Brain Sciences 2 (1):68-68.
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  • In defence of the armchair.Michael Fortescue - 1980 - Behavioral and Brain Sciences 3 (1):135-136.
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  • Nonrandom curvature adaptation to random visual displays.Ronald A. Finke - 1979 - Behavioral and Brain Sciences 2 (1):68-68.
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  • The Fallacy of the Homuncular Fallacy.Carrie Figdor - 2018 - Belgrade Philosophical Annual 31:41-56.
    A leading theoretical framework for naturalistic explanation of mind holds that we explain the mind by positing progressively "stupider" capacities ("homunculi") until the mind is "discharged" by means of capacities that are not intelligent at all. The so-called homuncular fallacy involves violating this procedure by positing the same capacities at subpersonal levels. I argue that the homuncular fallacy is not a fallacy, and that modern-day homunculi are idle posits. I propose an alternative view of what naturalism requires that reflects how (...)
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  • So many models – So little time.Jerome A. Feldman - 1979 - Behavioral and Brain Sciences 2 (4):551-552.
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  • Neuropsychological inference with an interactive brain: A critique of the “locality” assumption.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):43-61.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • Interactions on the interactive brain.Martha J. Farah - 1994 - Behavioral and Brain Sciences 17 (1):90-104.
    When cognitive neuropsychologists make inferences about the functional architecture of the normal mind from selective cognitive impairments they generally assume that the effects of brain damage are local, that is, that the nondamaged components of the architecture continue to function as they did before the damage. This assumption follows from the view that the components of the functional architecture are modular, in the sense of being informationally encapsulated. In this target article it is argued that this “locality” assumption is probably (...)
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  • Rational analysis and illogical inference.Edmund Fantino & Stephanie Stolarz-Fantino - 1991 - Behavioral and Brain Sciences 14 (3):494-494.
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  • Towards a descriptivist psychology of reasoning and decision making.Jonathan St Bt Evans & Shira Elqayam - 2011 - Behavioral and Brain Sciences 34 (5):275-290.
    Our target article identified normativism as the view that rationality should be evaluated against unconditional normative standards. We believe this to be entrenched in the psychological study of reasoning and decision making and argued that it is damaging to this empirical area of study, calling instead for a descriptivist psychology of reasoning and decision making. The views of 29 commentators (from philosophy and cognitive science as well as psychology) were mixed, including some staunch defences of normativism, but also a number (...)
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  • Adaptive cognition: The question is how.Jonathan St B. T. Evans - 1991 - Behavioral and Brain Sciences 14 (3):493-494.
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  • Representation: A concept that fills no gaps.Robert Epstein - 1982 - Behavioral and Brain Sciences 5 (3):377-378.
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  • Insufficiencies in perceptual adaptation theory.Sheldon M. Ebenholtz - 1979 - Behavioral and Brain Sciences 2 (1):67-68.
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  • There is more going on in the human mind.Géry D'Ydewalle & Rudi Peeters - 1984 - Behavioral and Brain Sciences 7 (2):239.
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  • Diagrams, images and conceptual maps in nursing education.Christine Durmis & Daniel A. Wilkenfeld - 2023 - Nursing Philosophy 24 (3):e12441.
    The way in which one understands information and concepts, and the way a student works to develop this, is an individual aspect of learning that cannot be universally defined as (at least manifested) the same for everyone. ‘Understanding’ is a broad term, and the way one achieves understanding is dependent on the way that material is presented. In this article, we argue that the philosophy of science can be important to nursing education—in particular, by showing that the way we imbue (...)
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  • The informational character of representations.Fred Dretske - 1982 - Behavioral and Brain Sciences 5 (3):376-377.
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  • Beyond perceptual symbols: A call for representational pluralism.Guy Dove - 2009 - Cognition 110 (3):412-431.
    Recent evidence from cognitive neuroscience suggests that certain cognitive processes employ perceptual representations. Inspired by this evidence, a few researchers have proposed that cognition is inherently perceptual. They have developed an innovative theoretical approach that rests on the notion of perceptual simulation and marshaled several general arguments supporting the centrality of perceptual representations to concepts. In this article, I identify a number of weaknesses in these arguments and defend a multiple semantic code approach that posits both perceptual and non-perceptual representations.
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  • Neurocomputing and modularity.Joachim Diederich - 1994 - Behavioral and Brain Sciences 17 (1):68-69.
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  • Adaptivity and rational analysis.Bradley W. Dickinson - 1991 - Behavioral and Brain Sciences 14 (3):492-493.
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  • On interpretative processes in imagery.Manuel de Vega - 1979 - Behavioral and Brain Sciences 2 (4):551-551.
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  • Rational analysis: Too rational for comfort?Ronald de Sousa - 1991 - Behavioral and Brain Sciences 14 (3):492-492.
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  • Mental imagery.Nigel J. T. Thomas - 2001 - Stanford Encyclopedia of Philosophy.
    Mental imagery (varieties of which are sometimes colloquially refered to as “visualizing,” “seeing in the mind's eye,” “hearing in the head,” “imagining the feel of,” etc.) is quasi-perceptual experience; it resembles perceptual experience, but occurs in the absence of the appropriate external stimuli. It is also generally understood to bear intentionality (i.e., mental images are always images of something or other), and thereby to function as a form of mental representation. Traditionally, visual mental imagery, the most discussed variety, was thought (...)
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  • There Is Nothing So Theoretical.Anthony G. Greenwald - unknown
    This article documents two facts that are provocative in juxtaposition. First: There is multidecade durability of theory controversies in psychology, demonstrated here in the subdisciplines of cognitive and social psychology. Second: There is a much greater frequency of Nobel science awards for contributions to method than for contributions to theory, shown here in an analysis of the last two decades of Nobel awards in physics, chemistry, and medicine. The available documentation of Nobel awards reveals two forms of method–theory synergy: (a) (...)
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  • S eeingand visualizing: I T' S n otwhaty ou T hink.Zenon Pylyshyn - unknown
    6. Seeing With the Mind’s Eye 1: The Puzzle of Mental Imagery .................................................6-1 6.1 What is the puzzle about mental imagery?..............................................................................6-1 6.2 Content, form and substance of representations ......................................................................6-6 6.3 What is responsible for the pattern of results obtained in imagery studies?.................................6-8..
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  • A Stimulus to the Imagination: A Review of Questioning Consciousness: The Interplay of Imagery, Cognition and Emotion in the Human Brain by Ralph D. Ellis. [REVIEW]Nigel J. T. Thomas - 1997 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 3.
    Twentieth century philosophy and psychology have been peculiarly averse to mental images. Throughout nearly two and a half millennia of philosophical wrangling, from Aristotle to Hume to Bergson, images (perceptual and quasi-perceptual experiences), sometimes under the alias of "ideas", were almost universally considered to be both the prime contents of consciousness, and the vehicles of cognition. The founding fathers of experimental psychology saw no reason to dissent from this view, it was commonsensical, and true to the lived experience of conscious (...)
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  • Can resources save rationality? ‘Anti-Bayesian’ updating in cognition and perception.Eric Mandelbaum, Isabel Won, Steven Gross & Chaz Firestone - 2020 - Behavioral and Brain Sciences 143:e16.
    Resource rationality may explain suboptimal patterns of reasoning; but what of “anti-Bayesian” effects where the mind updates in a direction opposite the one it should? We present two phenomena — belief polarization and the size-weight illusion — that are not obviously explained by performance- or resource-based constraints, nor by the authors’ brief discussion of reference repulsion. Can resource rationality accommodate them?
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  • The man becomes Adam‎.Mony Almalech - 2018 - In Audroné Daubariené, Simona Stano & Ulrika Varankaité (eds.), Cross-Inter-Multi-Trans Proceedings of the 13th World Congress of the International Association for Semiotic Studies (IASS/AIS).
    The paper is focused on Genesis 1 – 3 where the primordial man [adàm] is created ‎and he was given the proper name Adam [adàm]. ‎ In Hebrew man and Adam are the same word, spelled the same way – [adàm]. ‎Different translations of Genesis 1-3 use for the first time the proper name Adam in ‎different places versions Gen 2:25; The German Luther ‎Bible Gen 3:8; Some English Protestant versions Gen 3:17; Bulgarian Protestant and many ‎English Protestant versions Gen (...)
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  • In defense of representation.Arthur B. Markman & Eric Dietrich - 2000 - 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. Our analysis (...)
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  • Correlating consciousness: A view from empirical science.Axel Cleeremans & John-Dylan Haynes - 1999 - Revue Internationale de Philosophie 53 (209):387-420.
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