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pro vyhledávání: '"Bernhard Nebel"'
Akademický článek
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Conference
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Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 243, Iss Proc. M4M9 2017, Pp 75-90 (2017)
Epistemic planning can be used for decision making in multi-agent situations with distributed knowledge and capabilities. Recently, Dynamic Epistemic Logic (DEL) has been shown to provide a very natural and expressive framework for epistemic planning
Externí odkaz:
https://doaj.org/article/0afa567993b04310b5dcde85ad79b49e
Autor:
Stefan Borgwardt, Jörg Hoffmann, Alisa Kovtunova, Markus Krötzsch, Bernhard Nebel, Marcel Steinmetz
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:5503-5511
State constraints in AI Planning globally restrict the legal environment states. Standard planning languages make closed-domain and closed-world assumptions. Here we address open-world state constraints formalized by planning over a description logic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa80ecfe4f59e875972d038e9c87b15f
https://doi.org/10.1609/aaai.v36i5.20489
https://doi.org/10.1609/aaai.v36i5.20489
Autor:
Zhang, D., Bernhard Nebel
Publikováno v:
Scopus-Elsevier
We define ShapeShifting programmes as interactive and reconfigurable moving image productions that adapt their content, on the fly, to suit the preferences of the viewers or engagers. They are automatically edited at the time of delivery. We have dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f644fcf8a1be9932fb15ca26b0213d9
https://doi.org/10.1609/aiide.v3i1.18784
https://doi.org/10.1609/aiide.v3i1.18784
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 31:358-366
While state-dependent action costs are practically relevant and have been studied before, it is still unclear if they are an essential feature of planning tasks. In this paper, we study to what extent state-dependent action costs are an essential fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a15b62d2dfee75337eeb563e8b4498dc
https://doi.org/10.1609/icaps.v31i1.15981
https://doi.org/10.1609/icaps.v31i1.15981
Publikováno v:
AAAI
The objective of top-k planning is to determine a set of k different plans with lowest cost for a given planning task. In practice, such a set of best plans can be preferred to a single best plan generated by ordinary optimal planners, as it allows t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec2204d10d4381bf554dcde3790d2d1e
https://doi.org/10.1609/aaai.v34i06.6552
https://doi.org/10.1609/aaai.v34i06.6552
Publikováno v:
Artificial Intelligence. 316:103842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83f94cb36eea1f894e5aab797e89e97
https://doi.org/10.1016/j.artint.2022.103842
https://doi.org/10.1016/j.artint.2022.103842
Publikováno v:
AAAI
Research in classical planning so far was mainly concerned with generating a satisficing or an optimal plan. However, if such systems are used to make decisions that are relevant to humans, one should also consider the ethical consequences generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5265c4158f7f0acd2cd58af6b4f88f7d
https://doi.org/10.1609/aaai.v33i01.33017635
https://doi.org/10.1609/aaai.v33i01.33017635
Autor:
Chau Do, Daniel Kuhner, Felix Burget, Lukas D. J. Fiederer, Johannes Aldinger, Martin Völker, Wolfram Burgard, Tonio Ball, Joschka Boedecker, Bernhard Nebel, Robin Tibor Schirrmeister
Publikováno v:
Robotics and Autonomous Systems. 116:98-113
As autonomous service robots become more affordable and thus available for the general public, there is a growing need for user-friendly interfaces to control these systems. Control interfaces typically get more complicated with increasing complexity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f24354d887e70de2a300602333bdb801
https://doi.org/10.1016/j.robot.2019.02.015
https://doi.org/10.1016/j.robot.2019.02.015