Article

A Decentralized Token-Based Negotiation Approach for Multi-Agent Path Finding

Authors:

M. Onur Keskin,

Furkan Cantürk,

Reyhan AydoğanAuthors Info & Claims

Multi-Agent Systems: 18th European Conference, EUMAS 2021, Virtual Event, June 28–29, 2021, Revised Selected Papers

Pages 264 - 280

https://doi.org/10.1007/978-3-030-82254-5_16

Published: 28 June 2021 Publication History

Abstract

This paper introduces a negotiation approach to solve the Multi-Agent Path Finding problem. The approach aims to achieve a good trade-off between the privacy of the agents and the effectiveness of solutions. Accordingly, a token-based bilateral negotiation protocol and a compatible negotiation strategy are presented. The proposed approach is evaluated in a variety of scenarios by comparing it with state-of-the-art centralized approaches such as Conflict Based Search and its variant. The experimental results showed that the proposed approach can find conflict-free path solutions with a higher success rate, especially when the search space is large and high-density compared to centralized approaches while the gap between path cost differences is reasonably low. The proposed approach enables agents to have their autonomy; thus, it is convenient for MAPF problems involving self-interested agents.

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Cited By

Yesevi GKeskin MDoğru AAydoğan R(2022)Time Series Predictive Models for Opponent Behavior Modeling in Bilateral NegotiationsPRIMA 2022: Principles and Practice of Multi-Agent Systems10.1007/978-3-031-21203-1_23(381-398)Online publication date: 16-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-21203-1_23

Index Terms

A Decentralized Token-Based Negotiation Approach for Multi-Agent Path Finding
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Guide Proceedings

Multi-Agent Systems: 18th European Conference, EUMAS 2021, Virtual Event, June 28–29, 2021, Revised Selected Papers

Jun 2021

291 pages

ISBN:978-3-030-82253-8

DOI:10.1007/978-3-030-82254-5

Editors:
Ariel Rosenfeld
Bar-Ilan University, Ramat Gan, Israel
,
Nimrod Talmon
Ben-Gurion University of the Negev, Be’er Sheva, Israel

© Springer Nature Switzerland AG 2021.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 28 June 2021

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Cited By

Yesevi GKeskin MDoğru AAydoğan R(2022)Time Series Predictive Models for Opponent Behavior Modeling in Bilateral NegotiationsPRIMA 2022: Principles and Practice of Multi-Agent Systems10.1007/978-3-031-21203-1_23(381-398)Online publication date: 16-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-21203-1_23

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