Autonomy Oriented Computing by J. Lu, et al.

By J. Lu, et al.

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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. Synthesizing emergent behavior is not the end, but rather the means, of an AOC algorithm. AOC-by-prototyping is used to understand the emergent behavior and working mechanism of a real-world complex system by hypothesizing and repeated experimentation. The end product of these simulations is a better understanding of, or explanations to, the real working mechanism of the modeled system.

5 With the help of a computing encyclopedia or the Web, write down your own definition of a top-down problem solving approach. What are the major steps in such an approach? 6 Using AOC as an example of bottom-up approaches, illustrate their key characteristics. What are the main differences and relationships between bottom-up and top-down systems? 7 What are the advantages and disadvantages of top-down and bottom-up problem solving approaches over each other? Show some examples of modeling or computing problems in which top-down approaches are not applicable.

Liu, X. Jin, and K. C. Tsui. Autonomy Oriented Computing (AOC): Formulating Computational Systems with Autonomous Components. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans (in press). J. Liu, S. Zhang, and J. Yang. Characterizing Web Usage Regularities with Information Foraging Agents. IEEE Transactions on Knowledge and Data Engineering, 16(5):566-584, 2004. J. Liu, J. Han, and Y. Y. Tang. Multi-Agent Oriented Constraint Satisfaction Artificial Intelligence, 136(1):101-144, 2002.

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