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Improving Confidence in the Estimation of Values and Norms

  • Luciano Cavalcante Siebert
  • , Rijk Mercuur
  • , Virginia Dignum
  • , Jeroen van den Hoven
  • , Catholijn Jonker

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Autonomous agents (AA) will increasingly be interacting with us in our daily lives. While we want the benefits attached to AAs, it is essential that their behavior is aligned with our values and norms. Hence, an AA will need to estimate the values and norms of the humans it interacts with, which is not a straightforward task when solely observing an agent’s behavior. This paper analyses to what extent an AA is able to estimate the values and norms of a simulated human agent (SHA) based on its actions in the ultimatum game. We present two methods to reduce ambiguity in profiling the SHAs: one based on search space exploration and another based on counterfactual analysis. We found that both methods are able to increase the confidence in estimating human values and norms, but differ in their applicability, the latter being more efficient when the number of interactions with the agent is to be minimized. These insights are useful to improve the alignment of AAs with human values and norms.
Original languageEnglish
Title of host publicationCoordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIII
Subtitle of host publicationInternational Workshops COIN 2017 and COINE 2020, Sao Paulo, Brazil, May 8-9, 2017 and Virtual Event, May 9, 2020, Revised Selected Papers
EditorsAndrea Aler Tubella, Stephen Cranefield, Christopher Frantz, Felipe Meneguzzi, Wamberto Vasconcelos
PublisherSpringer Science and Business Media Deutschland GmbH
Pages98-113
Number of pages16
ISBN (Electronic)9783030723767
ISBN (Print)9783030723750
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventInternational Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COIN 2017, co-located with AAMAS 2017 and the International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems, COINE 2020, co-located with AAMAS 2020 - Virtual, Online
Duration: 9 May 20209 May 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume12298 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameCOINE: International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems
PublisherSpringer
VolumeCOIN 2017. COINE 2020

Conference

ConferenceInternational Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COIN 2017, co-located with AAMAS 2017 and the International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems, COINE 2020, co-located with AAMAS 2020
CityVirtual, Online
Period9/05/209/05/20

Funding

Acknowledgements. This work was supported by the AiTech initiative of the Delft University of Technology.

Funders
Technische Universiteit Delft

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