Improving the Scalability of Multi-Agent Systems
Improving the Scalability of Multi-Agent Systems
There is an increasing demand for designers and developers to construct ever larger multi-agent systems. Such systems will be composed of hundreds or even thousands of autonomous agents. Moreover, in open and dynamic environments, the number of agents in the system at any one time will fluctuate significantly. To cope with these twin issues of scalability and variable numbers, we hypothesize that multi-agent systems need to be both /self-building/ (able to determine the most appropriate organizational structure for the system by themselves at run-time) and /adaptive/ (able to change this structure as their environment changes). To evaluate this hypothesis we have implemented such a multi-agent system and have applied it to the domain of automated trading. Preliminary results supporting the first part of this hypothesis are presented: adaption and self-organization do indeed make the system better able to cope with large numbers of agents.
3-540-42315-X
246-262
Turner, Phillip J.
f431dc56-23e0-4f15-bdc2-758aa2b410b6
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wagner, Tom
43b339cb-cfe4-4d90-a962-0b44aaf6efa5
Rana, Omer
464ce085-76ff-4f45-a353-fd91858d5370
June 2000
Turner, Phillip J.
f431dc56-23e0-4f15-bdc2-758aa2b410b6
Jennings, N. R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Wagner, Tom
43b339cb-cfe4-4d90-a962-0b44aaf6efa5
Rana, Omer
464ce085-76ff-4f45-a353-fd91858d5370
Turner, Phillip J. and Jennings, N. R.
(2000)
Improving the Scalability of Multi-Agent Systems.
Wagner, Tom and Rana, Omer
(eds.)
Infrastructure for Agent, Multi-Agent Systems, and Scalable Multi-Agent Systems..
.
Record type:
Conference or Workshop Item
(Other)
Abstract
There is an increasing demand for designers and developers to construct ever larger multi-agent systems. Such systems will be composed of hundreds or even thousands of autonomous agents. Moreover, in open and dynamic environments, the number of agents in the system at any one time will fluctuate significantly. To cope with these twin issues of scalability and variable numbers, we hypothesize that multi-agent systems need to be both /self-building/ (able to determine the most appropriate organizational structure for the system by themselves at run-time) and /adaptive/ (able to change this structure as their environment changes). To evaluate this hypothesis we have implemented such a multi-agent system and have applied it to the domain of automated trading. Preliminary results supporting the first part of this hypothesis are presented: adaption and self-organization do indeed make the system better able to cope with large numbers of agents.
Text
Improving_Scalability_of_MAS_PJTurner_NRJennings_2000.pdf
- Other
Other
Improving_Scalability_of_MAS_PJTurner_NRJennings_2000.ps
- Other
More information
Published date: June 2000
Additional Information:
Proceedings of the First International Workshop on Infrastructure for Scalable Multi-Agent Systems, Barcelona, Spain, June 2000, (Revised papers published 2001).
Venue - Dates:
Infrastructure for Agent, Multi-Agent Systems, and Scalable Multi-Agent Systems., 2000-06-01
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 256035
URI: http://eprints.soton.ac.uk/id/eprint/256035
ISBN: 3-540-42315-X
PURE UUID: 9a57d36a-5762-46dc-b942-ed7cca54c859
Catalogue record
Date deposited: 16 Oct 2001
Last modified: 14 Mar 2024 05:38
Export record
Contributors
Author:
Phillip J. Turner
Author:
N. R. Jennings
Editor:
Tom Wagner
Editor:
Omer Rana
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics