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  1. A concept and its structures. Methodological analysis.Vladimir Kuznetsov (ed.) - 1997 - Institute of philosophy.
    The triplet model treats a concept as complex structure that expresses three kinds of information. The first is about entities subsumed under a concept,their properties and relations. The second is about means and ways of representing the first information in intelligent systems. The third is about linkage between the first and second ones and methods of its constructing. The application of triplet models to generalization and development of concept models in philosophy, logic, cognitive psychology, cognitive science, linguistics, artificial intelligence has (...)
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  • Artificial Neural Networks for the Diagnosis of Coronary Artery Disease.K. W. Tang, G. Pingle & G. Srikant - 1997 - Journal of Intelligent Systems 7 (3-4):307-338.
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  • Wrappers for feature subset selection.Ron Kohavi & George H. John - 1997 - Artificial Intelligence 97 (1-2):273-324.
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  • A simplicity principle in unsupervised human categorization.Emmanuel M. Pothos & Nick Chater - 2002 - Cognitive Science 26 (3):303-343.
    We address the problem of predicting how people will spontaneously divide into groups a set of novel items. This is a process akin to perceptual organization. We therefore employ the simplicity principle from perceptual organization to propose a simplicity model of unconstrained spontaneous grouping. The simplicity model predicts that people would prefer the categories for a set of novel items that provide the simplest encoding of these items. Classification predictions are derived from the model without information either about the number (...)
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  • A Hybrid Theory of Event Memory.David H. Ménager, Dongkyu Choi & Sarah K. Robins - 2022 - Minds and Machines 32 (2):365-394.
    Amongst philosophers, there is ongoing debate about what successful event remembering requires. Causal theorists argue that it requires a causal connection to the past event. Simulation theorists argue, in contrast, that successful remembering requires only production by a reliable memory system. Both views must contend with the fact that people can remember past events they have experienced with varying degrees of accuracy. The debate between them thus concerns not only the account of successful remembering, but how each account explains the (...)
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  • Knowledge-based artificial neural networks.Geoffrey G. Towell & Jude W. Shavlik - 1994 - Artificial Intelligence 70 (1-2):119-165.
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