Autonomy Oriented Computing is a comprehensive reference for
scientists, engineers, and other professionals concerned with this
promising development in computer science. It can also be used as a
text in graduate/undergraduate programs in a broad range of
computer-related disciplines, including Robotics and Automation,
Amorphous Computing, Image Processing, Programming Paradigms,
Computational Biology, etc.
Part One describes the basic concepts and characteristics of an
AOC system and enumerates the critical design and engineering
issues faced in AOC system development. Part Two gives detailed
analyses of methodologies and case studies to evaluate AOC used in
problem solving and complex system modeling. The final chapter
outlines possibilities for future research and development.
Numerous illustrative examples, experimental case studies, and
exercises at the end of each chapter of Autonomy Oriented Computing
help particularize and consolidate the methodologies and theories
presented.
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