Adaptive Cooperative Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)

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

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