loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Philipp Altmann 1 ; Katharina Winter 2 ; Michael Kölle 1 ; Maximilian Zorn 1 and Claudia Linnhoff-Popien 1

Affiliations: 1 LMU Munich, Germany ; 2 Munich University of Applied Sciences, Munich, Germany

Keyword(s): Multi-Agent Systems, Reinforcement Learning, Peer Incentivization, Consensus, Emergent Cooperation

Abstract: Recent advances in *multi-agent systems* (MAS) have shown that incorporating *peer incentivization* (PI) mechanisms vastly improves cooperation. Especially in social dilemmas, communication between the agents helps to overcome sub-optimal Nash equilibria. However, incentivization tokens need to be carefully selected. Furthermore, real-world applications might yield increased privacy requirements and limited exchange. Therefore, we extend the PI protocol for *mutual acknowledgment token exchange* (MATE) and provide additional analysis on the impact of the chosen tokens. Building upon those insights, we propose *mutually endorsed distributed incentive acknowledgment token exchange* (MEDIATE), an extended PI architecture employing automatic token derivation via decentralized consensus. Empirical results show the stable agreement on appropriate tokens yielding superior performance compared to static tokens and state-of-the-art approaches in different social dilemma environments with vari ous reward distributions. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 216.73.216.108

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Altmann, P., Winter, K., Kölle, M., Zorn, M., Linnhoff-Popien and C. (2025). MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5; ISSN 2184-433X, SciTePress, pages 33-44. DOI: 10.5220/0013091900003890

@conference{icaart25,
author={Philipp Altmann and Katharina Winter and Michael Kölle and Maximilian Zorn and Claudia Linnhoff{-}Popien},
title={MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={33-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013091900003890},
isbn={978-989-758-737-5},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - MEDIATE: Mutually Endorsed Distributed Incentive Acknowledgment Token Exchange
SN - 978-989-758-737-5
IS - 2184-433X
AU - Altmann, P.
AU - Winter, K.
AU - Kölle, M.
AU - Zorn, M.
AU - Linnhoff-Popien, C.
PY - 2025
SP - 33
EP - 44
DO - 10.5220/0013091900003890
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic