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- W2578189377 abstract "The main purpose of computational awareness (CA) is to make our human beings more aware. A well designed aware system should be able to detect novel events, inform us when the events occur, and tell us what to do. In many cases, we may not trust the machine. We want to know the reasons why the event is novel, and why we should take certain actions if an event is observed. For this purpose, it is important to interpret the reasoning process of the aware system in a human-understandable way. In this study, we provide a method for translating an aware system into an expert system. Using the expert system, it is possible to justify the reasoning process for any decision. As a case study, we show how to translate a learned 3-valuved logic multilayer perceptron into an expert system. The proposed method provides a possible way for obtaining interpretable aware systems through learning of many layered neural networks." @default.
- W2578189377 created "2017-01-26" @default.
- W2578189377 creator A5069452869 @default.
- W2578189377 date "2016-08-01" @default.
- W2578189377 modified "2023-09-24" @default.
- W2578189377 title "Construction of Aware Systems That are Interpretable" @default.
- W2578189377 doi "https://doi.org/10.1109/cbd.2016.064" @default.
- W2578189377 hasPublicationYear "2016" @default.
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