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Complexity, Information, and Robustness: The Role of Information “Barriers” in Boolean Networks
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Author(s): Kurt A. Richardson (ISCE Research, USA)
Copyright: 2008
Pages: 28
Source title:
Intelligent Complex Adaptive Systems
Source Author(s)/Editor(s): Ang Yang (University of New South Wales, Australia)and Yin Shan (University of New South Wales, Australia)
DOI: 10.4018/978-1-59904-717-1.ch007
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Abstract
In this supposed “information age,” a high premium is put on the widespread availability of information. Access to as much information as possible is often cited as key to the making of effective decisions. While it would be foolish to deny the central role that information and its flow has in effective decision-making processes, this chapter explores the equally important role of “barriers” to information flows in the robustness of complex systems. The analysis demonstrates that (for simple Boolean networks at least) a complex system’s ability to filter out (i.e., block) certain information flows is essential if it is not to be beholden to every external signal. The reduction of information is as important as the availability of information.
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