Title
On The Significance Of Synchroneity In Emergent Systems
Keywords
Dynamics; Emergent coordination; Simulation; Synchroneity
Abstract
The goal of this paper is to explore the effects of synchronization on distributed decision making processes. In particular, we examine the dynamics of a spatially distributed multi- Agent system where agents use local information to make role assignments. By investigating several role assignment procedures for this problem, we find that, in general, system stability increases as the number of agents that make a decision at any particular time decreases. This result is promising, because in a physical, distributed system the time at which agents make their decisions would most likely not be synchronized. Although the two decision making procedures examined in this paper arc similar, their dynamics with respect to synchronization are very different. One shows a linear relationship between synchronization and system behavior, whereas a non-linear relationship is seen with the second method. We demonstrate the significance of synchroneity on the dynamics of these complex systems and argue that it should be taken into account when studying the behaviors of multi-agent systems that utilize emergent coordination. Categories and Subject Descriptors 1.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence-Multiagent systems; 1.6.0 [Artificial Intelligence]: Simulation and Modeling-General General Terms Design, Experimentation. Copyright © 2009, International Foundation for Autonomous Agents and Multiagent Systems.
Publication Date
1-1-2009
Publication Title
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume
1
Number of Pages
300-307
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84899823578 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84899823578
STARS Citation
Campbell, Adam and Wu, Annie S., "On The Significance Of Synchroneity In Emergent Systems" (2009). Scopus Export 2000s. 12624.
https://stars.library.ucf.edu/scopus2000/12624