Contributo in atti di convegno, 2020, ENG
Lanzilli, Annarita; Mayer, Marta Cialdea; Cesta, Amedeo; Orlandini, Andrea; Umbrico, Alessandro
Università degli Studi Roma Tre; Istituto Di Scienze E Tecnologie Della Cognizione, Rome
Timeline-based Planning and Scheduling (P&S) usually deals with two main sources of uncertainty: some components may depend on an external environment and cannot be planned; there may be tasks whose duration cannot be exactly foreseen in advance. Such uncertainties are formally defined and consequent controllability issues have been addressed, focusing on dynamic controllability. In this work, we present a new software prototype, tiga2exec, for dynamic controllable execution of timeline-based plans leveraging recent results gathered from the integration of P&S and Model Checking techniques. tiga2exec is deployed in a timeline-based planning system to control plan execution guaranteeing dynamic controllability. A preliminary experimental evaluation is also presented.
1st Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis, OVERLAY 2019, pp. 89–93, Rende, Italia, 19/11/2019-20/11/2020
Artificial intelligence, planning and scheduling, controllability, model checking
Albisinni Ferdinando, Orlandini Andrea, Umbrico Alessandro, Cesta Amedeo
ID: 421852
Year: 2020
Type: Contributo in atti di convegno
Creation: 2020-05-12 14:53:41.000
Last update: 2021-04-09 01:03:11.000
CNR institutes
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
URL: http://www.scopus.com/record/display.url?eid=2-s2.0-85082104086&origin=inward
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:421852
Scopus: 2-s2.0-85082104086