%0 Conference Paper %1 Beaudry2010a %A Beaudry, Eric %A Kabanza, Froduald %A Michaud, Francois %B International Conference on Automated Planning and Scheduling %D 2010 %K concurrent, continuous, probabilistic, temporal %P 10--17 %T Planning for concurrent action executions under action duration uncertainty using dynamically generated Bayesian networks %U http://www.aaai.org/ocs/index.php/ICAPS/ICAPS10/paper/download/1417/1523

@inproceedings{Beaudry2010a, added-at = {2020-05-24T20:36:48.000+0200}, author = {Beaudry, Eric and Kabanza, Froduald and Michaud, Francois}, biburl = {https://www.bibsonomy.org/bibtex/254fd247cc79387fb38f3b4cc22f826d8/marcondg}, booktitle = {International Conference on Automated Planning and Scheduling}, comment = {First-Order model. Models continuous time and continuous probability state variables. Generates a plan with higher than k probability of success. Forward state-space search extended with a Bayesian network. The Bayesian network is built and evaluated incrementally alongside the state-space search. Only action duration uncertainty. No resource uncertainty. No action outcome uncertainty, no contingencies. No exogenous events.}, interhash = {7cafbe4399590e0d774e86c1b57f9f89}, intrahash = {54fd247cc79387fb38f3b4cc22f826d8}, keywords = {concurrent, continuous, probabilistic, temporal}, month = may, pages = {10--17}, timestamp = {2020-05-24T20:36:48.000+0200}, title = {{Planning for concurrent action executions under action duration uncertainty using dynamically generated Bayesian networks}}, url = {http://www.aaai.org/ocs/index.php/ICAPS/ICAPS10/paper/download/1417/1523}, year = 2010 }