Abstract | ||
---|---|---|
In the era of Big Data and Internet-of-Things (IoT), all real-world environments are gradually becoming cyber-physical (e.g., emergency management, healthcare, smart manufacturing, etc.), with the presence of connected devices and embedded ICT systems (e.g., smart-phones, sensors, actuators) producing huge amounts of data and events that influence the enactment of the Cyber Physical Processes (CPPs) enacted in such environments. A Process Management System (PMS) employed for executing CPPs is required to automatically adapt its running processes to anomalous situations and exogenous events by minimising any human intervention at run-time. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS that combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on well-established action-based formalisms in Artificial Intelligence, which allow to interpret the ever-changing knowledge of cyber-physical environments and to adapt CPPs by preserving their base structure. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1007/978-3-319-74030-0_33 | Lecture Notes in Business Information Processing |
Keywords | DocType | Volume |
Cognitive business process management Cyber-Physical Processes,Process adaptation and recovery Situation calculus,IndiGolog,Automated planning | Journal | 308 |
ISSN | Citations | PageRank |
1865-1348 | 2 | 0.39 |
References | Authors | |
11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andrea Marrella | 1 | 273 | 35.71 |
massimo mecella | 2 | 1841 | 168.35 |