Our understanding of self-organizing cooperative systems is advancing by leaps and bounds, shedding new light on the nature of life and human consciousness, while offering solutions to a wide range of technical problems. Martin Beckerman, a researcher working at Oak Ridge National Laboratory, has written this book in an effort to help researchers working in such far-flung fields as signal processing, neuroscience, and robotics stay abreast of the latest advances in adaptive cooperative systems.

Adaptive Cooperative Systems <ul><li>Clearly explains the statistical physics behind the latest adaptive cooperative models and methods <li>Describes sophisticated probabilistic methods and shows how they can be used to develop algorithms for solving problems in various research domains <li>Describes important recent findings on self-organizing cooperative behavior in biological systems <li>Provides examples drawn from geoscience, astrophysics, image processing, robotics, AI, and other disciplines <li>Presents a rigorous theory of cooperative computation as applied to problems in perceptual inferencing

MARTIN BECKERMAN, PhD, is a member of the scientific research staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory in Oak Ridge, Tennessee.