Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1999-06-03
Nonlinear Sciences
Adaptation and Self-Organizing Systems
postscript, 8 pages. Paper 65 in Proceedings of The 2nd International Conference on Information Fusion
Scientific paper
In this paper we consider how to organize the sharing of information in a distributed network of sensors and data processors so as to provide explanations for sensor readings with minimal expenditure of energy. We point out that the Minimum Description Length principle provides an approach to information fusion that is more naturally suited to energy minimization than traditional Bayesian approaches. In addition we show that for networks consisting of a large number of identical sensors Kohonen self-organization provides an exact solution to the problem of combining the sensor outputs into minimal description length explanations.
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