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pro vyhledávání: '"Franc Ivankovic"'
Publikováno v:
AIxIA 2022 – Advances in Artificial Intelligence ISBN: 9783031271809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96ef150bdc45365bc80e9810e78a10ef
https://doi.org/10.1007/978-3-031-27181-6_30
https://doi.org/10.1007/978-3-031-27181-6_30
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 15:291-293
Planning with global state constraints is an extension of classical planning such that some properties of each state are derived via a set of rules common to all states. This approach is important for the application of planning techniques in manipul
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 29:232-236
Planning with global state constraints is an extension of classical planning in which some properties of each state are derived via a set of equations, rules or constraints. This extension enables more elegant modelling of networked physical systems
Autor:
Dana S. Nau, Patrik Haslum, Franc Ivankovic, Sylvie Thiébaux, Daniel Gordon, Miquel Ramirez, Vikas Shivashankar
Publikováno v:
Journal of Artificial Intelligence Research. 62:373-431
We present a principled way of extending a classical AI planning formalism with systems of state constraints, which relate - sometimes determine - the values of variables in each state traversed by the plan. This extension occupies an attractive midd
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 24:145-153
Automating the operations of infrastructure networks such as energy grids and oil pipelines requires a range of planning and optimisation technologies. However, current planners face significant challenges in responding to this need. Notably, they ar