title: Networks in cognitive science.
abstract: Networks of interconnected nodes have long played a key role in Cognitive Science, from artificial neural networks to spreading activation models of semantic memory. 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.
authors.affiliation: Laboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA 02115, USA. a.baronchelli.work@gmail.com
authors.forename: Andrea
authors.initials: A
authors.lastname: Baronchelli
authors.forename: Ramon
authors.initials: R
authors.lastname: Ferrer-i-Cancho
authors.forename: Romualdo
authors.initials: R
authors.lastname: Pastor-Satorras
authors.forename: Nick
authors.initials: N
authors.lastname: Chater
authors.forename: Morten H
authors.initials: MH
authors.lastname: Christiansen
mesh_terms: D003071:Cognition / Q000502:physiology*; D019336:Cognitive Science; D006801:Humans; D016571:Neural Networks, Computer