KASER: Knowledge Amplification by Structured Expert Randomization
نویسندگان
چکیده
منابع مشابه
On Knowledge Amplification by Structured Expert Randomization (KASER)
We define Knowledge Amplification by Structured Expert Randomization (KASER). A KASER can automatically acquire a virtual rule space exponentially larger than the actual rule space and with an exponentially decreasing nonzero likelihood of error. The KASER cracks the knowledge acquisition bottleneck in intelligent systems by amplifying user-supplied knowledge. This enables the construction of a...
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The capability to dynamically retrieve detailed multimedia which may come from knowledge bases as well as sensor information in response to specific user queries offers the potential to create decision support systems of unprecedented utility. Such systems can learn from user feedback; by minimizing the system training required of the knowledge engineer, we can more effectively process vast fre...
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This paper describes a shell that has been developed for the purpose of fuzzy qualitative reasoning. The relation among object predicates is defined by object trees that are fully capable of dynamic growth and maintenance. The qualitatively fuzzy inference engine and the developed expert system can then acquire a virtual-rule space that is exponentially (subject to machine implementation consta...
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ژورنال
عنوان ژورنال: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
سال: 2004
ISSN: 1083-4419
DOI: 10.1109/tsmcb.2004.835081