TY - GEN
T1 - Explicabilty versus explanations in human-aware planning
AU - Chakrabroti, Tathagata
AU - Sreedharan, Sarath
AU - Kambhampati, Subbarao
N1 - Publisher Copyright:
© 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018
Y1 - 2018
N2 - Human aware planning requires an agent to be aware of the mental model of the human in the loop during its decision process. This can involve generating plans that are explicable to the human as well as the ability to provide explanations when such plans cannot be generated. In this paper, we bring these two concepts together and show how an agent can account for both these needs and achieve a trade-off during the plan generation process itself by means of a model-space search method MEGA∗. This provides a revised perspective of what it means for an AI agent to be "human-aware" by bringing together recent works on explicable planning and plans explanations under the umbrella of a single plan generation process. We illustrate these concepts using a robot involved in a typical search and reconnaissance task with an external supervisor.
AB - Human aware planning requires an agent to be aware of the mental model of the human in the loop during its decision process. This can involve generating plans that are explicable to the human as well as the ability to provide explanations when such plans cannot be generated. In this paper, we bring these two concepts together and show how an agent can account for both these needs and achieve a trade-off during the plan generation process itself by means of a model-space search method MEGA∗. This provides a revised perspective of what it means for an AI agent to be "human-aware" by bringing together recent works on explicable planning and plans explanations under the umbrella of a single plan generation process. We illustrate these concepts using a robot involved in a typical search and reconnaissance task with an external supervisor.
KW - Argumentation
KW - Human-aware planning
KW - Model reconciliation
KW - Plan explanations
KW - Plan explicability
UR - http://www.scopus.com/inward/record.url?scp=85054740783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054740783&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85054740783
SN - 9781510868083
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 2180
EP - 2182
BT - 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018
Y2 - 10 July 2018 through 15 July 2018
ER -