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cognitive science |
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cognitive scienceInterdisciplinary study that attempts to explain the cognitive processes of humans and some higher animals in terms of the manipulation of symbols using computational rules. The field draws particularly on the disciplines of artificial intelligence, psychology (see cognitive psychology), linguistics, neuroscience, and philosophy. Some chief areas of research in cognitive science have been vision, thinking and reasoning, memory, attention, learning, and language processing. Early theories of cognitive function attempted to explain the evident compositionality of human thought (thoughts are built up of smaller units put together in a certain way), as well as its productivity (the process of putting together a thought from smaller units can be repeated indefinitely to produce an infinite number of new thoughts), by assuming the existence of discrete mental representations that can be put together or taken apart according to rules that are sensitive to the representations' syntactic, or structural, properties. This “language of thought” hypothesis was later challenged by an approach, variously referred to as connectionism, parallel-distributed processing, or neural-network modeling, according to which cognitive processes (such as pattern recognition) consist of adjustments in the activation strengths of neuronlike processing units arranged in a network. How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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| MIT Press' (Cambridge, MA) Science, Technology & Medicine group has begun the publication of "Biological Theory," a new quarterly journal that is devoted to coverage of theoretical advances in the biological and cognitive sciences. Those findings don't necessarily show that language is necessary for mathematical thinking, contend two researchers in the January Trends in Cognitive Sciences. Our understanding of physiologic systems has of course evolved substantially during the past 150 years, and today sophisticated, if domain-specific, mathematical models are used to simulate, plan, and interpret experiments in numerous branches of biomedicine including endocrinology, cardiovascular physiology, immunology, neurophysiology, and the cognitive sciences. |
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