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  1. From Sensations to Concepts: A Proposal for Two Learning Processes.Peter Gärdenfors - 2019 - Review of Philosophy and Psychology 10 (3):441-464.
    This article presents two learning processes in order to explain how children at an early age can transform a complex sensory input to concepts and categories. The first process constructs the perceptual structures that emerge in children’s cognitive development by detecting invariants in the sensory input. The invariant structures involve a reduction in dimensionality of the sensory information. It is argued that this process generates the primary domains of space, objects and actions and that these domains can be represented as (...)
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  • Redundancy Matters: Flexible Learning of Multiple Contingencies in Infants.Vladimir M. Sloutsky & Christopher W. Robinson - 2013 - Cognition 126 (2):156-164.
  • On the Nature and Scope of Featural Representations of Word Meaning.Ken McRae, Virginia R. de Sa & Mark S. Seidenberg - 1997 - Journal of Experimental Psychology 126 (2):99-130.
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  • Précis of Simple Heuristics That Make Us Smart.Peter M. Todd & Gerd Gigerenzer - 2000 - Behavioral and Brain Sciences 23 (5):727-741.
    How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we (...)
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  • On Thinking of Kinds: A Neuroscientific Perspective.Dan Ryder - 2006 - In Graham Macdonald & David Papineau (eds.), Teleosemantics: New Philosophical Essays. Oxford University Press. pp. 115-145.
    Reductive, naturalistic psychosemantic theories do not have a good track record when it comes to accommodating the representation of kinds. In this paper, I will suggest a particular teleosemantic strategy to solve this problem, grounded in the neurocomputational details of the cerebral cortex. It is a strategy with some parallels to one that Ruth Millikan has suggested, but to which insufficient attention has been paid. This lack of attention is perhaps due to a lack of appreciation for the severity of (...)
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  • The Brain as a Model-Making Machine.Dan Ryder - manuscript
    In this paper, I will introduce you to a new theory of mental representation, emphasizing two important features. First, the theory coheres very well with folk psychology; better, I believe, than its competitors (e.g. Cummins, 1996; Dretske, 1988; Fodor, 1987 and Millikan, 1989, with which it has the most in common), though I will do little by way of direct comparison in this paper. Second, it receives support from current neuroscience. While other theories may be consistent with current neuroscience, none (...)
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  • Feature Centrality and Conceptual Coherence.Steven A. Sloman, Bradley C. Love & Woo-Kyoung Ahn - 1998 - Cognitive Science 22 (2):189-228.
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  • Accounting for Graded Performance Within a Discrete Search Framework.Craig S. Miller & John E. Laird - 1996 - Cognitive Science 20 (4):499-537.
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  • Simulation Models of the Influence of Learning Mode and Training Variance on Category Learning.Renée Elio & Kui Lin - 1994 - Cognitive Science 18 (2):185-219.
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  • Induction, Focused Sampling and the Law of Small Numbers.Joel Pust - 1996 - Synthese 108 (1):89 - 104.
    Hilary Kornblith (1993) has recently offered a reliabilist defense of the use of the Law of Small Numbers in inductive inference. In this paper I argue that Kornblith's defense of this inferential rule fails for a number of reasons. First, I argue that the sort of inferences that Kornblith seeks to justify are not really inductive inferences based on small samples. Instead, they are knowledge-based deductive inferences. Second, I address Kornblith's attempt to find support in the work of Dorrit Billman (...)
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  • Knowledge as Process: Contextually Cued Attention and Early Word Learning.Linda B. Smith, Eliana Colunga & Hanako Yoshida - 2010 - Cognitive Science 34 (7):1287-1314.
    Learning depends on attention. The processes that cue attention in the moment dynamically integrate learned regularities and immediate contextual cues. This paper reviews the extensive literature on cued attention and attentional learning in the adult literature and proposes that these fundamental processes are likely significant mechanisms of change in cognitive development. The value of this idea is illustrated using phenomena in children's novel word learning.
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  • Missing the Party: Political Categorization and Reasoning in the Absence of Party Label Cues.Evan Heit & Stephen P. Nicholson - 2016 - Topics in Cognitive Science 8 (3):697-714.
    This research addressed theoretical approaches in political science arguing that the American electorate is either poorly informed or dependent on party label cues, by assessing performance on political judgment tasks when party label information is missing. The research materials were created from the results of a national opinion survey held during a national election. The experiments themselves were run on nationally representative samples of adults, identified from another national electoral survey. Participants saw profiles of simulated individuals, including information about demographics (...)
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