A fully integrated, up-to-date exploration of self-organizing processes
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
