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Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Large-scale multiagent teamwork has been popular in various domains.
Similar to human society infrastructure, agents only coordinate with some of the others, with a peer-to-peer complex network structure.
Their organization has been proven as a key factor to influence their performance.
To expedite team performance, we have analyzed that there are three key factors.
First, complex network effects may be able to promote team performance.
Second, coordination interactions coming from their sources are always trying to be routed to capable agents.
Although they could be transferred across the network via different paths, their sources and sinks depend on the intrinsic nature of the team which is irrelevant to the network connections.
In addition, the agents involved in the same plan often form a subteam and communicate with each other more frequently.
Therefore, if the interactions between agents can be statistically recorded, we are able to set up an integrated network adjustment algorithm by combining the three key factors.
Based on our abstracted teamwork simulations and the coordination statistics, we implemented the adaptive reorganization algorithm.
The experimental results briefly support our design that the reorganized network is more capable of coordinating heterogeneous agents.
American Psychological Association (APA)
Xu, Yang& Liu, Pengfei& Li, Xiang. 2014. Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-446949
Modern Language Association (MLA)
Xu, Yang…[et al.]. Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-446949
American Medical Association (AMA)
Xu, Yang& Liu, Pengfei& Li, Xiang. Reorganizing Complex Network to Improve Large-Scale Multiagent Teamwork. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-446949
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446949