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Issue title: Demonstrations Track of the 25th International Joint Conference on Artificial Intelligence
Guest editors: Carlos Linares López
Article type: Research Article
Authors: Marrella, Andreaa; * | Mecella, Massimoa | Sardiña, Sebastianb
Affiliations: [a] Sapienza Universitá di Roma, Italy | [b] RMIT University, Melbourne, Australia
Correspondence: [*] Corresponding author. E-mail: marrella@diag.uniroma1.it.
Abstract: Cyber Physical Processes (CPPs) refer to a new generation of business processes enacted in many application environments (e.g., emergency management, smart manufacturing, etc.), in which the presence of Internet-of-Things devices and embedded ICT systems (e.g., smartphones, sensors, actuators) strongly influences the coordination of the real-world entities (e.g., humans, robots, etc.) inhabitating 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. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS, called SmartPM, which combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on three well-established action-based formalisms developed for reasoning about actions in Artificial Intelligence (AI), including the situation calculus, IndiGolog and automated planning. Interestingly, the use of SmartPM does not require any expertise of the internal working of the AI tools involved in the system.
Keywords: Cyber-physical processes, process adaptation and recovery, situation calculus, IndiGolog, automated planning
DOI: 10.3233/AIC-170748
Journal: AI Communications, vol. 31, no. 1, pp. 47-74, 2018
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