Complexity

Cover image for Vol. 20 Issue 1

Edited By: Peter Schuster and Alfred W. Hubler

Impact Factor: 1.029

ISI Journal Citation Reports © Ranking: 2013: 21/55 (Multidisciplinary Sciences); 50/95 (Mathematics Interdisciplinary Applications)

Online ISSN: 1099-0526

Overview



Aims and Scope


Effective with the 2011 volume, this journal will be published in an online-only format.

Complexity is a bi-monthly, cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like "chaos," "self-organization," and "emergence" that are often used in completely different ways in science and in daily life.


Readership


Mathematicians · physicists · computer scientists · biologists · engineers · economists · social scientists


Keywords


complex adaptive systems, chaos research, neural networks, evolutionary game theory, genetic algorithms, time series analysis, symbolic dynamics, fractals, robustness, quantum computing, population dynamics, collective behavior, journal, online journal, Wiley Online Library


Abstracting and Indexing Information

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