Knowledge Acquisition in Socio-CyberPhysical Systems through Information Exchange between Resources
Abstract
Introduction: Socio-cyber-physical systems naturally unite machines and humans. This fact makes such systems attractive for knowledge management research, as only humans, due to their intellect and knowledge, are capable of an unprogrammed response to situations. Purpose: Studying communicative interactions between the resources of socio-cyber-physical systems while these resources are jointly accomplishing their objectives. As a result of these interactions, the resources (physical, cybernetics and social elements of the systems interrelated into a network) acquire new knowledge. Results: Interaction scenarios have been described in which cyber-resources acquire knowledge from the ontology, from each other and from humans. The ontology serves as a model ensuring that the resources understand each other. A meta-ontology of a socio-cyber-physical system is proposed, specialized with respect to the suggested scenarios. Internet community is used as a tool supporting the communicative interactions. Internet community is a virtual community whose members unite on the base of common interests or goals to interact with each other primarily via the Internet. An example of forming text messages sent by the system resources to the Internet community is given. Practical relevance: The discussed scenarios of communicative interactions contribute to the development of innovative systems aiming at gaining benefit from knowledge acquisition.Published
2017-12-20
How to Cite
Smirnov, A., & Levashova, T. (2017). Knowledge Acquisition in Socio-CyberPhysical Systems through Information Exchange between Resources. Information and Control Systems, (6), 113-122. https://doi.org/10.15217/issn1684-8853.2017.6.113
Issue
Section
System analysis