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Mikael Nilsson
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Incremental dynamic controllability revisited
M Nilsson, J Kvarnström, P Doherty
Proceedings of the International Conference on Automated Planning and …, 2013
282013
Incremental dynamic controllability in cubic worst-case time
M Nilsson, J Kvarnström, P Doherty
2014 21st International Symposium on Temporal Representation and Reasoning …, 2014
252014
EfficientIDC: A faster incremental dynamic controllability algorithm
M Nilsson, J Kvarnström, P Doherty
Proceedings of the International Conference on Automated Planning and …, 2014
212014
Classical Dynamic Controllability Revisited
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence (ICAART), 130-141, 2014
182014
Classical Dynamic Controllability Revisited
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence (ICAART), 130-141, 2014
182014
Efficient processing of simple temporal networks with uncertainty: algorithms for dynamic controllability verification
M Nilsson, J Kvarnström, P Doherty
Acta Informatica 53, 723-752, 2016
162016
Planning with temporal uncertainty, resources and non-linear control parameters
M Nilsson, J Kvarnström, P Doherty
Proceedings of the International Conference on Automated Planning and …, 2018
22018
Revisiting Classical Dynamic Controllability: A Tighter Complexity Analysis
M Nilsson, J Kvarnström, P Doherty
International Conference on Agents and Artificial Intelligence, 243-261, 2014
12014
Urdarbrunnen: Towards an AI-enabled mission system for Combat Search and Rescue operations
E Olsson, M Nilsson, K Bergman, D de Leng, S Carlén, E Karlsson, ...
Swedish Artificial Intelligence Society, 38-45, 2023
2023
Efficient Temporal Reasoning with Uncertainty
M Nilsson
Linköping University Electronic Press, 2015
2015
On the Complexity of Finding Spanner Paths
M Nilsson
The 29th European Workshop on Computational Geometry (EuroCG), March 17-20 …, 2013
2013
Spanneröar och spannervägar
M Nilsson
2009
Efficient Processing of Simple Temporal Networks with Uncertainty
M Nilsson, J Kvarnström, P Doherty
Revisiting Classical Dynamic Controllability
M Nilsson, J Kvarnström, P Doherty
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Articles 1–14