Autonomy Oriented Computing From Problem Solving to Complex by Jiming Liu

By Jiming Liu

Autonomy orientated Computing is a entire reference for scientists, engineers, and different pros taken with this promising improvement in computing device technology. it will possibly even be used as a textual content in graduate/undergraduate courses in a large diversity of computer-related disciplines, together with Robotics and Automation, Amorphous Computing, snapshot Processing, Programming Paradigms, Computational Biology, and so forth.

Part One describes the fundamental recommendations and features of an AOC method and enumerates the severe layout and engineering concerns confronted in AOC approach improvement. half offers specific analyses of methodologies and case reports to judge AOC utilized in challenge fixing and complicated method modeling. the ultimate bankruptcy outlines probabilities for destiny examine and development.

Numerous illustrative examples, experimental case stories, and routines on the finish of every bankruptcy of Autonomy orientated Computing aid particularize and consolidate the methodologies and theories presented.

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Extra resources for Autonomy Oriented Computing From Problem Solving to Complex Systems Modeling

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As compared to other existing computing paradigms From Autonomy to AOC 13 or research areas, the goals of AOC are unique: To computationally synthesize emergent purposeful behavior for problem solving and complex systems modeling. , AOC-by-fabrication, AOC-by-prototyping, and AOC-by-self-discovery. AOC-by-fabrication refers to the reproduction of emergent behavior in computation. With some knowledge of an underlying mechanism, an analogy of the mechanism observed from the emergent behavior is used as a general purpose problem solving technique.

2 In order to evaluate computing languages or environments for AOC, what will be your suggested criteria? What will be your suggested benchmark problems? 3 AOC offers a new way of tackling complexity, whether in problem solving or in complex systems modeling, by utilizing localized, autonomous and yet low-cost (computationally and physically speaking), and self-organized entities. Based on the illustrative examples given in this chapter, try to suggest and develop some other alternative models of AOC, as inspired by nature, for solving the same or different problems.

1999, Liu and Han, 2001]. 2 N-Queen Problem The n-queen problem aims to allocate queens on an chessboard such that no two queens are placed within the same row, column, and diagonal. Based on the constraints of the problem, a model is formulated in the following manner. Each queen is modeled as an autonomous entity in an AOC system and multiple queens are assigned to each row on the chessboard. This is to allow competition among the queens in the same row such that the queen with the best strategy survives.

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