Author
Eran, Cihan, Keskin, Mehmet Onur, Cantürk, Furkan, Aydoğan, Reyhan
Publication Date
2021
Publication Place
-
Springer
Subject
Decentralized coordination, Multi-agent path finding, Negotiation, Self-interested agents
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-303082253-8
Record ID
9e04fa49-02db-4d0c-87bf-08cdd58249b8
Library Location
Computer Science
Date
2021
Sample Text
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.
DOI
10.1007/978-3-030-82254-5_16
Cilt
12802 LNAI