Balancing explicability and explanations for human-aware planning

Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Human-aware planning involves generating plans that are explicable as well as providing explanations when such plans cannot be found. In this paper, we bring these two concepts together and show how an agent can achieve a trade-off between these two competing characteristics of a plan. In order to achieve this, we conceive a first of its kind planner MEGA that can augment the possibility of explaining a plan in the plan generation process itself. We situate our discussion in the context of recent work on explicable planning and explanation generation, and illustrate these concepts in two well-known planning domains, as well as in a demonstration of a robot in a typical search and reconnaissance task. Human factor studies in the latter highlight the usefulness of the proposed approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
EditorsSarit Kraus
PublisherInternational Joint Conferences on Artificial Intelligence
Pages1335-1343
Number of pages9
ISBN (Electronic)9780999241141
StatePublished - Jan 1 2019
Externally publishedYes
Event28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China
Duration: Aug 10 2019Aug 16 2019

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
Volume2019-August
ISSN (Print)1045-0823

Conference

Conference28th International Joint Conference on Artificial Intelligence, IJCAI 2019
CountryChina
CityMacao
Period8/10/198/16/19

Fingerprint

Planning
Human engineering
Demonstrations
Robots

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Chakraborti, T., Sreedharan, S., & Kambhampati, S. (2019). Balancing explicability and explanations for human-aware planning. In S. Kraus (Ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 (pp. 1335-1343). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2019-August). International Joint Conferences on Artificial Intelligence.

Balancing explicability and explanations for human-aware planning. / Chakraborti, Tathagata; Sreedharan, Sarath; Kambhampati, Subbarao.

Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. ed. / Sarit Kraus. International Joint Conferences on Artificial Intelligence, 2019. p. 1335-1343 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chakraborti, T, Sreedharan, S & Kambhampati, S 2019, Balancing explicability and explanations for human-aware planning. in S Kraus (ed.), Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. IJCAI International Joint Conference on Artificial Intelligence, vol. 2019-August, International Joint Conferences on Artificial Intelligence, pp. 1335-1343, 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 8/10/19.
Chakraborti T, Sreedharan S, Kambhampati S. Balancing explicability and explanations for human-aware planning. In Kraus S, editor, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. International Joint Conferences on Artificial Intelligence. 2019. p. 1335-1343. (IJCAI International Joint Conference on Artificial Intelligence).
Chakraborti, Tathagata ; Sreedharan, Sarath ; Kambhampati, Subbarao. / Balancing explicability and explanations for human-aware planning. Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. editor / Sarit Kraus. International Joint Conferences on Artificial Intelligence, 2019. pp. 1335-1343 (IJCAI International Joint Conference on Artificial Intelligence).
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