ML Anthology

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)

Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan
IJCAI 2018 pp. 5543-5547
doi:10.24963/IJCAI.2018/781 /ijcai/2018/alechina2018ijcai-incentive/

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.

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Text

Alechina et al. "Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/781

Markdown

[Alechina et al. "Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/alechina2018ijcai-incentive/) doi:10.24963/IJCAI.2018/781

BibTeX

@inproceedings{alechina2018ijcai-incentive,
  title     = {{Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract)}},
  author    = {Alechina, Natasha and Halpern, Joseph Y. and Kash, Ian A. and Logan, Brian},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5543-5547},
  doi       = {10.24963/IJCAI.2018/781},
  url       = {https://mlanthology.org/ijcai/2018/alechina2018ijcai-incentive/}
}