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Edited by: Peter Schuster and Alfred W. Hubler
Print ISSN: 1076-2787 Online ISSN: 1099-0526
Impact Factor: 1.029
Complexity (CPLX) cover image

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.

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