Generative Network Automata: A Generalized Framework for Modeling Complex Dynamical Systems with Autonomously Varying Topologies

Item Type Conference Paper
Author H. Sayama
Pages 214-221
Date 2007
DOI 10.1109/ALIFE.2007.367799
Conference Name Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Abstract We propose a new modeling framework "generative network automata (GNA)" that can uniformly describe both state transitions and autonomous topology transformations of complex dynamical networks. GNA is formulated as an extension of existing complex dynamical network models to include a new set of generative update rules that determine how local network topologies will change based on the current local network states and topologies. This paper introduces basic concepts of GNA, its formal definitions, its generality to represent other dynamical systems models, and some preliminary results of an exhaustive sweep of possible dynamics found in elementary binary GNA with restricted updating rules
Proceedings Title Artificial Life, 2007. ALIFE '07. IEEE Symposium on
Short Title Generative Network Automata
archive IEEE Xplore
Date Added 2009-05-28 06:08
Added By nlg
Date Modified 2009-05-28 06:08