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Information 2012, 3(1), 1-15; doi:10.3390/info3010001
Article

Self-Organized Complexity and Coherent Infomax from the Viewpoint of Jaynes’s Probability Theory

1,2
Received: 13 December 2011; in revised form: 28 December 2011 / Accepted: 29 December 2011 / Published: 4 January 2012
(This article belongs to the Special Issue Information and Energy/Matter)
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Abstract: This paper discusses concepts of self-organized complexity and the theory of Coherent Infomax in the light of Jaynes’s probability theory. Coherent Infomax, shows, in principle, how adaptively self-organized complexity can be preserved and improved by using probabilistic inference that is context-sensitive. It argues that neural systems do this by combining local reliability with flexible, holistic, context-sensitivity. Jaynes argued that the logic of probabilistic inference shows it to be based upon Bayesian and Maximum Entropy methods or special cases of them. He presented his probability theory as the logic of science; here it is considered as the logic of life. It is concluded that the theory of Coherent Infomax specifies a general objective for probabilistic inference, and that contextual interactions in neural systems perform functions required of the scientist within Jaynes’s theory.
Keywords: self-organization; complexity; Coherent Infomax; Jaynes; probability theory; probabilistic inference; neural computation; information; context-sensitivity; coordination self-organization; complexity; Coherent Infomax; Jaynes; probability theory; probabilistic inference; neural computation; information; context-sensitivity; coordination
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Phillips, W.A. Self-Organized Complexity and Coherent Infomax from the Viewpoint of Jaynes’s Probability Theory. Information 2012, 3, 1-15.

AMA Style

Phillips WA. Self-Organized Complexity and Coherent Infomax from the Viewpoint of Jaynes’s Probability Theory. Information. 2012; 3(1):1-15.

Chicago/Turabian Style

Phillips, William A. 2012. "Self-Organized Complexity and Coherent Infomax from the Viewpoint of Jaynes’s Probability Theory." Information 3, no. 1: 1-15.

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