《Table 5Morphological chart of DPs.》

《Table 5Morphological chart of DPs.》   提示:宽带有限、当前游客访问压缩模式
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《情境感知智能产品的生物启发式设计》


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The artificial structure was reformulated based on biological inspiration.For example,ravens can not only solve problems logically,but also adapt existing solutions to new problems.This principle inspired the designers to combine fuzzy logic with case-based reasoning.Fuzzy logic enables the Roomba to evaluate a problem situation accurately(e.g.,to what extent it is stuck)and recognize new problems proactively(e.g.,what kind of trapping is occurring).Case-based reasoning enables the Roomba to compare the current problem with historical ones and determine their similarity.The effectiveness of case-based reasoning can be further enhanced by connecting all Roombas to a cloud-based central database that stores all kinds of historical trapping problems in different contexts(i.e.,various home environments).In this way,it creates a form of swarm intelligence through shared data.Moreover,the network latency can be minimized by means of fog computing,thus permitting a timely response to any developing situations.