Reasoning Strategies in Smart Cyber-Physical Systems

Cyber-physical systems are integrations of computerized physical things in the environment that are merged by communications, and computations using embedded systems and networks. To make the components of the systems act intelligently, according to users’ needs, and understand and predict behavior of the cyber-physical systems, the cyber-physical systems need reasoning to link the outcome of the different components to be able to make use of the devices in the surrounding environment. The reasoning includes collecting sensor data, finding key concepts in the data and drawing conclusions that cyber-physical systems can use to control the components surrounding the users. However, there is a range of different components in a system where each has particular communication input-output and its own set tasks, which provides particular challenges associated with controlling or predicting the behavior of such systems, which require a kind of analytic tools. This paper presents reasoning strategies for smart cyber-physical systems that can extract and combine data, information, and knowledge to provide an intelligent behavior from users point of view. The reasoning strategies use users’ needs as a starting point and provide an environment that gives personalized support.