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Classification and Cognition

Oxford University Press USA (1996)

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  1. A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents.Wendell Wallach, Stan Franklin & Colin Allen - 2010 - Topics in Cognitive Science 2 (3):454-485.
    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for computational (...)
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  • The Reality of Brands: Towards an Ontology of Marketing.Wolfgang Grassl - 1999 - American Journal of Economics and Sociology 58:313-360.
    The ontology of marketing, particularly the question of what products and brands are, is still largely unexplored. The ontological status of brands hinges on their relationship with products. Idealists about brands see perceptual or cognitive acts of consumers grouped under the heading ‘brand awareness’ or ‘brand image’ as constitutive for the existence of brands so that, in their view, tools of the marketing mix can influence relevant mental dispositions and attitudes. Brand realists, on the other hand, reject the view of (...)
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  • Extracting prototypes from exemplars What can corpus data tell us about concept representation?Dagmar Divjak & Antti Arppe - 2013 - Cognitive Linguistics 24 (2).
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  • A Goal-Directed Bayesian Framework for Categorization.Francesco Rigoli, Giovanni Pezzulo, Raymond Dolan & Karl Friston - 2017 - Frontiers in Psychology 8.
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  • Toward a dual-learning systems model of speech category learning.Bharath Chandrasekaran, Seth R. Koslov & W. T. Maddox - 2014 - Frontiers in Psychology 5:88645.
    More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in (...)
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