In this paper, we introduce an adaptive Process Management System implementation that combines business process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on well-established formalisms developed for reasoning about actions in Artificial Intelligence, including the situation calculus, IndiGolog and classical planning. Such formalisms provide a natural framework for the formal specification of explicit mechanisms to model world changes and responding to anomalous situations, exceptions, exogenous events in an automated way during process execution.

An Adaptive Process Management System Implementation Based on Situatio Calculus, Indigolog and Classical Planning / Marrella, Andrea; Mecella, Massimo; Sardina, Sebastian. - In: IJCAI. - ISSN 1045-0823. - (2016), pp. 4258-4259. (Intervento presentato al convegno 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 tenutosi a New York; United States nel 9-15 July 2016).

An Adaptive Process Management System Implementation Based on Situatio Calculus, Indigolog and Classical Planning

MARRELLA, ANDREA
;
Mecella, Massimo;Sardina, Sebastian
2016

Abstract

In this paper, we introduce an adaptive Process Management System implementation that combines business process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on well-established formalisms developed for reasoning about actions in Artificial Intelligence, including the situation calculus, IndiGolog and classical planning. Such formalisms provide a natural framework for the formal specification of explicit mechanisms to model world changes and responding to anomalous situations, exceptions, exogenous events in an automated way during process execution.
2016
25th International Joint Conference on Artificial Intelligence, IJCAI 2016
Artificial intelligence
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
An Adaptive Process Management System Implementation Based on Situatio Calculus, Indigolog and Classical Planning / Marrella, Andrea; Mecella, Massimo; Sardina, Sebastian. - In: IJCAI. - ISSN 1045-0823. - (2016), pp. 4258-4259. (Intervento presentato al convegno 25th International Joint Conference on Artificial Intelligence, IJCAI 2016 tenutosi a New York; United States nel 9-15 July 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/908574
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