Incentive-compatible mechanisms for norm monitoring in open multi-agent systems

Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan

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

Abstract

We consider the problem of detecting norm violations in open multi-agent systems (MAS). In this extended abstract, we outline the approach of [Alechina et al., 2018], and show how, using ideas from scrip systems, we can design mechanisms where the agents comprising the MAS are incentivised to monitor the actions of other agents for norm violations.

Original languageEnglish
Title of host publicationProceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
EditorsJerome Lang
PublisherInternational Joint Conferences on Artificial Intelligence
Pages5543-5547
Number of pages5
ISBN (Electronic)9780999241127
Publication statusPublished - 2018
Externally publishedYes
Event27th International Joint Conference on Artificial Intelligence, IJCAI 2018 - Stockholm, Sweden
Duration: 13 Jul 201819 Jul 2018

Publication series

SeriesIJCAI International Joint Conference on Artificial Intelligence
Volume2018-July
ISSN1045-0823

Conference

Conference27th International Joint Conference on Artificial Intelligence, IJCAI 2018
Abbreviated titleIJCAI 2018
Country/TerritorySweden
CityStockholm
Period13/07/1819/07/18

Fingerprint

Dive into the research topics of 'Incentive-compatible mechanisms for norm monitoring in open multi-agent systems'. Together they form a unique fingerprint.

Cite this