Aleatory and expert system techniques
Abstract
Aleatory techniques are processes that involve randomness in their design. Unlike random walks and random sampling (e.g., Monte Carlo techniques), aleatory techniques use “targeted randomness,” which is explicitly designed to probe the limits of a system. Aleatory techniques, additionally, are intended to make the system more robust to randomness. In this chapter, we optimize system designs not only to provide a better “buffer” to unanticipated random artifacts but also to do a better job of ingesting domain expertise from decidedly nonrandom artifacts, that is, from domain experts and requirements. Aleatory techniques are shown to be excellent means of performing system sensitivity ...
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