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Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural net- works to spreading activation models of semantic mem- ory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions, and collaborations among scientists. Today, the inclusion of network theory into Cognitive Sciences, and the expansion of complex- systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the Cognitive Sciences.
Cognitive science, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, :Física [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Física, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Cognition, Ciència cognitiva, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, RC0321, Cognitive Science, Humans, Neurons and Cognition (q-bio.NC), Neural Networks, Computer
Cognitive science, Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, :Física [Àrees temàtiques de la UPC], Àrees temàtiques de la UPC::Física, FOS: Physical sciences, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Cognition, Ciència cognitiva, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, RC0321, Cognitive Science, Humans, Neurons and Cognition (q-bio.NC), Neural Networks, Computer
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