Elessar: Ethics in Norm-Aware Agents

Elessar: Ethics in Norm-Aware Agents

Ajmeri, Nirav (University of North Carolina)
Murukannaiah, P.K. (TU Delft Interactive Intelligence)
Guo, Hui (North Carolina State University)
Singh, Munindar P. (University of North Carolina)

An, Bo (editor)
El Fallah Seghrouchni, Amal (editor)
Sukthankar, Gita (editor)

2020-05

We address the problem of designing agents that navigate social norms by selecting ethically appropriate actions. We present Elessar, a framework in which agents aggregate value preferences of users and select ethically appropriate actions through multicriteria decision making in different social contexts. Via simulations, seeded with a survey of user values and attitudes, we find that Elessar agents act ethically and are effective than baseline agents, in terms of (1) exhibiting the Rawlsian property of fairness, and (2) yielding a satisfactory social experience to users. Our results are stable across agent societies of different sizes and connectedness.

Ethics
Fairness
Preferences
Social norms
Values

http://resolver.tudelft.nl/uuid:86620c28-6b05-4441-97b6-107e581c4785

978-1-4503-7518-4

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020

AAMAS 2020, 2020-05-09 → 2020-05-13, Auckland, New Zealand

Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1548-8403, 2020-May

Accepted Author Manuscript

Institutional Repository

conference paper

© 2020 Nirav Ajmeri, P.K. Murukannaiah, Hui Guo, Munindar P. Singh