Discrete Dynamical Networks and their Attractor Basins Export

@article{Wuensche98, abstract = {A key notion in the study of network dynamics is that state-space is connected into basins of attraction . Convergence in attractor basins correlates with order -complexity -chaos measures on space-time patterns. A network's ``memory'', its ability to categorize, is provided by the configuration of its separate basins, trees and sub-trees. Based on computer simulations using the software Discrete Dynamics Lab [19], this paper provides an overview of recent work describing some of the issues, methods, measures, results, applications and conjectures.}, author = {Wuensch, Andrew}, citeulike-article-id = {5874288}, citeulike-linkout-0 = {http://www.complexity.org.au/ci/vol06/wuensche/wuensche.html}, issn = {1320-0682}, journal = {Complexity International}, keywords = {attractor\_basins}, posted-at = {2009-10-02 07:49:23}, priority = {0}, title = {Discrete Dynamical Networks and their Attractor Basins}, url = {http://www.complexity.org.au/ci/vol06/wuensche/wuensche.html}, volume = {6}, year = {1998} }

TY - JOUR ID - Wuensche98 L3 - citeulike-article-id:5874288 N2 - A key notion in the study of network dynamics is that state-space is connected into basins of attraction . Convergence in attractor basins correlates with order -complexity -chaos measures on space-time patterns. A network's ``memory'', its ability to categorize, is provided by the configuration of its separate basins, trees and sub-trees. Based on computer simulations using the software Discrete Dynamics Lab [19], this paper provides an overview of recent work describing some of the issues, methods, measures, results, applications and conjectures. JF - Complexity International SN - 1320-0682 TI - Discrete Dynamical Networks and their Attractor Basins VL - 6 KW - attractor_basins AU - Wuensch, Andrew PY - 1998/// UR - http://www.complexity.org.au/ci/vol06/wuensche/wuensche.html ER -