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Autonomy Oriented Computing by J. Lu, et al.

By J. Lu, et al.

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Sample text

This, in effect, translates the global goal of the whole AOC system to a local goal of individual entities. Thirdly, the environment keeps a central clock that helps synchronize the behaviors of all autonomous entities, if necessary. 3. Major Phases in Developing AOC Systems In the second part of this book, we will present a number of case studies on AOC applications. These applications cover not only constraint satisfaction and optimization problem solving, but also complex systems behavior characterization.

11 Among the computing and programming paradigms mentioned in this chapter, find one application problem for each of them. You should carefully consider the nature of the problem such that it can best demonstrate the strengths of a paradigm adopted. 1. Introduction AOC approaches share a basic form with many possible variants. As mentioned in the preceding chapter, the basic form draws on the core notion of autonomy, with such characteristics as multi-entity formulation, local interaction, nonlinear aggregation, and self-organized computation.

We wish to thank the Computer Science Department at Hong Kong Baptist University for providing an ideal, free environment for us to develop this exciting research field. We want to acknowledge the support of the following research grants: (1) Hong Kong Research Grant Council (RGC) Central Allocation Grant (HKBU 2/03/C) and Earmarked Research Grants (HKBU 2121/03E)(HKBU 2040/02E), (2) Hong Kong Baptist University Faculty Research Grants (FRG), (3) National Grand Fundamental Research 973 Program of China (2003CB316901), and (4) Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology (KP0705200379).

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