TY - JOUR
T1 - 'Why didn't you allocate this task to them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation
AU - Zahedi, Zahra
AU - Sengupta, Sailik
AU - Kambhampati, Subbarao
N1 - Funding Information:
This research is supported in part by ONR grants N00014-16-1-2892, N00014-18-1-2442, N00014-18-1-2840, N00014-9-1-2119, AFOSR grant FA9550-18-1-0067, DARPA SAIL-ON grant W911NF-19-2-0006, and a JP Morgan AI Faculty Research grant.
Publisher Copyright:
© 2023 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
PY - 2023
Y1 - 2023
N2 - In this work, we design an Artificially Intelligent Task Allocator (AITA) that proposes a task allocation for multi-agent systems especially with humans. A key property of this allocation is that when an agent with imperfect knowledge (about their teammate's costs and/or the team's performance metric) questions the allocation by contesting with a counterfactual, a contrastive explanation is provided to answer their challenge. For this, we consider a negotiation process that produces a negotiation-aware task allocation and, in turn, leverages a negotiation tree to provide a contrastive explanation. With human subject studies, we show that the proposed allocation indeed appears fair to a majority of participants, and the explanations generated are easy to comprehend and convincing.
AB - In this work, we design an Artificially Intelligent Task Allocator (AITA) that proposes a task allocation for multi-agent systems especially with humans. A key property of this allocation is that when an agent with imperfect knowledge (about their teammate's costs and/or the team's performance metric) questions the allocation by contesting with a counterfactual, a contrastive explanation is provided to answer their challenge. For this, we consider a negotiation process that produces a negotiation-aware task allocation and, in turn, leverages a negotiation tree to provide a contrastive explanation. With human subject studies, we show that the proposed allocation indeed appears fair to a majority of participants, and the explanations generated are easy to comprehend and convincing.
KW - Contrastive Explanation
KW - Negotiation
KW - Task Allocation
UR - http://www.scopus.com/inward/record.url?scp=85171283671&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85171283671&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85171283671
SN - 1548-8403
VL - 2023-May
SP - 2292
EP - 2294
JO - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
JF - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
T2 - 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023
Y2 - 29 May 2023 through 2 June 2023
ER -