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On granular structures of measurement in ambient intelligence systems: Vassiliev’s and Belnap’s sensors and their communication models

Keywords:

V.B. Tarasov


The paper faces the problems of constructing granular measurement structures for Ambient Intelligence (AmI) systems. Primarily, the AmI concept is discussed and its multidisciplinary aspects are revealed. Some key technologies of AmI are presented, a new interpretation of AmI system as artificial cognitive-regulative meta-agent is introduced, an appropriate agent architecture is built. New trends in measurement theory are considered: Distributed, Intelligent, Soft, Cognitive Measurement. The notion of Granular Measurement is proposed and related two-level structure of intelligent measuring instrument is conceived, where knowledge is obtained from quantitative data analysis. We deal with the problem of transition from row sensor data to useful information and knowledge by applying Zadeh’s granulation theory. Here according to Pierce’s ideas the selection of mathematical structures for sensor data mining is associated with the interpretation of multi-valued logics as formal pragmatics tools. The concepts of Vassiliev’s and Belnap’s sensors are introduced, some sensor networks based on such sensors are analyzed. Logical-algebraic models of dialogue between sensors are suggested on the basis of product logics and bilattices. As a result a map for overcoming partial contradictions in simple sensor networks is constructed.
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