Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent

被引:9
作者
Han, Jing [1 ]
Wang, Lin [2 ]
机构
[1] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
来源
PLOS ONE | 2013年 / 8卷 / 05期
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
DYNAMICALLY CHANGING ENVIRONMENT; CONSENSUS; CONVERGENCE; BEHAVIOR; MOTION;
D O I
10.1371/journal.pone.0061542
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called 'shill', which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior.
引用
收藏
页数:11
相关论文
共 34 条
[1]  
[Anonymous], 1999, Swarm Intelligence
[2]   Synchronization in complex networks [J].
Arenas, Alex ;
Diaz-Guilera, Albert ;
Kurths, Jurgen ;
Moreno, Yamir ;
Zhou, Changsong .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2008, 469 (03) :93-153
[3]   Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study [J].
Ballerini, M. ;
Calbibbo, N. ;
Candeleir, R. ;
Cavagna, A. ;
Cisbani, E. ;
Giardina, I. ;
Lecomte, V. ;
Orlandi, A. ;
Parisi, G. ;
Procaccini, A. ;
Viale, M. ;
Zdravkovic, V. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (04) :1232-1237
[4]   From disorder to order in marching locusts [J].
Buhl, J ;
Sumpter, DJT ;
Couzin, ID ;
Hale, JJ ;
Despland, E ;
Miller, ER ;
Simpson, SJ .
SCIENCE, 2006, 312 (5778) :1402-1406
[5]   Reaching a consensus in a dynamically changing environment: A graphical approach [J].
Cao, Ming ;
Morse, A. Stephen ;
Anderson, Brian D. O. .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (02) :575-600
[6]   Reaching a consensus in a dynamically changing environment: Convergence rates, measurement delays, and asynchronous events [J].
Cao, Ming ;
Morse, A. Stephen ;
Anderson, Brian D. O. .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2008, 47 (02) :601-623
[7]   Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach [J].
Cao, Yongcan ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (01) :33-48
[8]   Collective circular motion of multi-vehicle systems [J].
Ceccarelli, N. ;
Di Marco, M. ;
Garulli, A. ;
Giannitrapani, A. .
AUTOMATICA, 2008, 44 (12) :3025-3035
[9]  
COLORNI A, 1992, FROM ANIM ANIMAT, P134
[10]   Effective leadership and decision-making in animal groups on the move [J].
Couzin, ID ;
Krause, J ;
Franks, NR ;
Levin, SA .
NATURE, 2005, 433 (7025) :513-516