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On the Disruptive Effectiveness of Automated Planning for LTLf -based Trace Alignment
Conference proceeding   Peer reviewed

On the Disruptive Effectiveness of Automated Planning for LTLf -based Trace Alignment

G De Giacomo, Fabrizio Maria Maggi, A Marrella and F Patrizi
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, Twenty-Ninth Innovative Applications of Artificial Intelligence Conference, Seventh Symposium on Educational Advances in Artificial Intelligence - Volume 5; 4-9 February 2017, San Francisco, California USA, pp.3555-3561
Proceedings of the AAAI Conference on Artificial Intelligence, 31
31th AAAI Conference on Artificial Intelligence (AAAI) (San Francisco, 04/02/2017 - 09/01/2017)
12/02/2017
Handle:
https://hdl.handle.net/10863/26761

Abstract

Business Processes Trace Alignment Linear Time Temporal Logic on Finite Traces Automated Planning Declare
url
https://ojs.aaai.org/index.php/AAAI/article/view/11020View

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