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of 4
pro vyhledávání: '"Benjamin Krarup"'
Autor:
Daniele Magazzeni, Senka Krivic, David E. Smith, Michael Cashmore, Derek Long, Benjamin Krarup
Publikováno v:
Journal of Artificial Intelligence Research. 72:533-612
In automated planning, the need for explanations arises when there is a mismatch between a proposed plan and the user's expectation. We frame Explainable AI Planning in the context of the plan negotiation problem, in which a succession of hypothetica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14d0eb28dd13f51db7dee60e666276c3
https://doi.org/10.1613/jair.1.12813
https://doi.org/10.1613/jair.1.12813
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23be1dfa22ced47b15a8360417c24a62
https://doi.org/10.1109/case49997.2022.9926613
https://doi.org/10.1109/case49997.2022.9926613
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030948757
Automated planning is able to handle increasingly complex applications, but can produce unsatisfactory results when the goal and metric provided in its model does not match the actual expectation and preference of those using the tool. This can be am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47817d343a45d69641b62106d7717d0c
https://strathprints.strath.ac.uk/80038/1/Murray_etal_LNCS_2022_Towards_temporally_uncertain_explainable_AI_planning.pdf
https://strathprints.strath.ac.uk/80038/1/Murray_etal_LNCS_2022_Towards_temporally_uncertain_explainable_AI_planning.pdf
Publikováno v:
IROS
In challenging environments where human intervention is expensive, robust and persistent autonomy is a key requirement. AI Planners can efficiently construct plans to achieve this long-term autonomous behaviour. However, in plans which are expected t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0f0055fe2b48ac9830ff45680d49650
https://doi.org/10.1109/iros.2018.8594347
https://doi.org/10.1109/iros.2018.8594347