作者: Phyllis R. Nelson , Minhdao H. Nguyen , Chien-Cheng J. Yang
DOI: 10.1007/S00287-012-0596-5
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摘要: Organic computing (OC) recognizes that the behaviors of deployed systems can be much more interesting than those predicted by simulation. By exploiting self-X properties such as self-organization, self-optimization, self-protection, and context-awareness, OC researchers are developing methods for creating robust, trustworthy systems. This paper presents two examples unanticipated we have observed in our test bed robotic toy cars, an unmodeled phenomenon with surprisingly large effects agent behavior was believed (incorrectly) to so rare it could ignored. We discuss use computational reflection a tool identifying situations, consider challenges posed variety situations faced real systems, list lessons learned about importance beds advancing research.