Abstract
| Language | English |
|---|---|
| Title of host publication | RoboCup 2008: Robot Soccer World Cup XII |
| Editors | L Iocchi, H Matsubara, A Weitzenfeld, C Zhou |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 495-506 |
| Number of pages | 12 |
| Volume | 5399 LNAI |
| ISBN (Print) | 978-3-642-02920-2 |
| DOIs | |
| Status | Published - 2009 |
| Event | 12th annual RoboCup International Symposium, RoboCup 2008, July 15, 2008 - July 18, 2008 - Suzhou, China Duration: 1 Jan 2009 → … |
Publication series
| Name | Lecture Notes in Artificial Intelligence, Vol. 5399 |
|---|---|
| Publisher | Springer |
Conference
| Conference | 12th annual RoboCup International Symposium, RoboCup 2008, July 15, 2008 - July 18, 2008 |
|---|---|
| Country | China |
| City | Suzhou |
| Period | 1/01/09 → … |
Fingerprint
Keywords
- Multi agent systems
- Electric network topology
- Electric network analysis
- Autonomous agents
- Large scale systems
Cite this
Multi-level network analysis of multi-agent systems. / Iravani, P.
RoboCup 2008: Robot Soccer World Cup XII. ed. / L Iocchi; H Matsubara; A Weitzenfeld; C Zhou. Vol. 5399 LNAI Berlin : Springer, 2009. p. 495-506 (Lecture Notes in Artificial Intelligence, Vol. 5399).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Multi-level network analysis of multi-agent systems
AU - Iravani, P
N1 - Paper from RoboCup 2008: Robot Soccer World Cup XII, held in Suzhou, China, 15-18 July 2008
PY - 2009
Y1 - 2009
N2 - This paper presents a multi-level network-based approach to study complex systems formed by multiple autonomous agents. The fundamental idea behind this approach is that elements of a system (represented by network vertices) and their interactions (represented by edges) can be assembled to form structures. Structures are considered to be at one hierarchical level above the elements and interactions that form them, leading to a multi-level organisation. Analysing complex systems represented by multi-level networks make possible the study of the relationships between network topology and dynamics to the system’s global outcome. The framework proposed in this paper is exemplified using data from the RoboCup Football Simulation League.
AB - This paper presents a multi-level network-based approach to study complex systems formed by multiple autonomous agents. The fundamental idea behind this approach is that elements of a system (represented by network vertices) and their interactions (represented by edges) can be assembled to form structures. Structures are considered to be at one hierarchical level above the elements and interactions that form them, leading to a multi-level organisation. Analysing complex systems represented by multi-level networks make possible the study of the relationships between network topology and dynamics to the system’s global outcome. The framework proposed in this paper is exemplified using data from the RoboCup Football Simulation League.
KW - Multi agent systems
KW - Electric network topology
KW - Electric network analysis
KW - Autonomous agents
KW - Large scale systems
UR - http://dx.doi.org/10.1007/978-3-642-02921-9_43
U2 - 10.1007/978-3-642-02921-9_43
DO - 10.1007/978-3-642-02921-9_43
M3 - Chapter
SN - 978-3-642-02920-2
VL - 5399 LNAI
T3 - Lecture Notes in Artificial Intelligence, Vol. 5399
SP - 495
EP - 506
BT - RoboCup 2008: Robot Soccer World Cup XII
A2 - Iocchi, L
A2 - Matsubara, H
A2 - Weitzenfeld, A
A2 - Zhou, C
PB - Springer
CY - Berlin
ER -