NDLI: Regret-based Bayesian sequential decision-making for human-agent collaborative search tasks

Content Provider	IEEE Xplore Digital Library
Author	Yue Wang
Copyright Year	2015
Description	Author affiliation: Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA (Yue Wang)
Abstract	We consider domain search tasks using autonomous multi-agent teams collaborating with a human operator. A Bayesian sequential decision-making strategy is first proposed for the optimal allocation of manual and autonomous sensing mode in the presence of sensing uncertainty. However, this type of optimal strategy is not always the style of human decision-making. In particular, regret has been shown to play a critical role in rational decision-making. Humans experience regret when they perceive that they are better off with another option and tend to make choices to avoid such experience. Furthermore, it has been shown that team members share a same mental model perform better than teams with a more accurate but less similar mental model. Therefore, to enable more effective human-agent collaboration (HAC) and better overall task performance, we embed regret analysis into the proposed decision-making framework to provide suboptimal but more human-like decisions. We compare simulation results of decision-making strategies with and without regret analysis and show that regret-based decision-making can integrate human tendency in risk-averse and risk-seeking for better HAC.
Starting Page	5738
Ending Page	5743
File Size	252114
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7172238
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Manuals Decision making Sensors Bayes methods Collaboration Uncertainty Cognitive science
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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