Issue |
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|
|
---|---|---|
Article Number | 04024 | |
Number of page(s) | 5 | |
Section | Computers | |
DOI | https://doi.org/10.1051/matecconf/201712504024 | |
Published online | 04 October 2017 |
An experimental design to study decommitment in a collaborative multi-agent system in a scheduling domain
1 Computer Science Department, Montana Tech, 1300 W. Park St. Butte, MT 59701
2 Department of Computer Science and Engineering, University of North Texas, 1155 Union Circle #310440, Denton, TX 76203-5017
* Corresponding author: mvandyne@mtech.edu
Based on previous multi-agent research, this paper describes the experimental design of extending that research to an additional domain. The original work used collaborative agents, each controlling a radar, to negotiate with each other to perform the task of target tracking. Agents were allowed to schedule their own tasks, commit to tasks requested by other agents, and then, dependent on experimental condition, either always honor commitments, unilaterally decommit if another higher priority commitment occurs, or negotiate whether to drop a commitment or not is another apparently higher priority request is received. In the original research, the domain was highly time constrained, and agents were required to operate in a real-time environment. This research extends the concept of agent decommitment into a resource scheduling domain. The problem is no longer time constrained, however, the number of agents is increased dramatically. In this paper, we describe the theoretical background and experimental design of the new research.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.