Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation

Madalina Croitoru, Cornelius Croitoru, Gowrishankar Ganesh

2025

Abstract

This paper proposes a 2-stage framework for multi-agent resource allocation. Following a Borda-based allocation, machine learning predictions about agent preferences are used to selectively choose agent pairs to perform negotiations to swap resources. We show that this selective negotiation improves overall satisfaction towards the resource redistribution.

Paper Citation

in Harvard Style

Croitoru M., Croitoru C. and Ganesh G. (2025). Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 656-662. DOI: 10.5220/0013368000003890

in Bibtex Style

@conference{icaart25,
author={Madalina Croitoru and Cornelius Croitoru and Gowrishankar Ganesh},
title={Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={656-662},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013368000003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Prediction-Based Selective Negotiation for Refining Multi-Agent Resource Allocation
SN - 978-989-758-737-5
AU - Croitoru M.
AU - Croitoru C.
AU - Ganesh G.
PY - 2025
SP - 656
EP - 662
DO - 10.5220/0013368000003890
PB - SciTePress