scholarly journals Soft Control on Collective Behavior of a Group of Autonomous Agents By a Shill Agent

2006 ◽  
Vol 19 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Jing Han ◽  
Ming Li ◽  
Lei Guo
Keyword(s):  
Collective Behavior ◽  
Autonomous Agents ◽  
Soft Control

scholarly journals A Robust Scheme for Aggregating Quasi-Blind Robots in an Active Environment

2012 ◽  
Vol 3 (3) ◽  
pp. 66-80 ◽  
Author(s):  
Nazim Fatès ◽  
Nikolaos Vlassopoulos
Keyword(s):  
Collective Behavior ◽  
Autonomous Agents ◽  
Aggregation Process ◽  
Simple Rules ◽  
Aggregation Scheme ◽  
Small Team ◽  
Centralized Coordination

The question of how to aggregate autonomous agents with limited abilities in the absence of centralized coordination is known as the Decentralized Gathering Problem. The authors present a bio-inspired aggregation scheme that solves this problem and study a first application of this scheme to a small team of robots. The robots (Alice and Khepera III) obey simple rules and have only a rudimentary perception of their environment. The collective behavior is based on stigmergic principles and uses an active environment to relay the communications between robots. This results in an aggregation process that shows good properties of robustness and that can in principle be extended to swarms of robots.

scholarly journals Emergence of collective behavior in a system of autonomous agents

1999 ◽  
Vol 3 (1) ◽  
pp. 15-23 ◽  
Author(s):  
I. Antoniou ◽  
F. Bosco ◽  
V. V. Ivanov ◽  
I. V. Kisel
Keyword(s):  
Probability Distribution ◽  
Collective Behavior ◽  
Autonomous Agents ◽  
Stable Manner ◽  
Additional Agent

We study the properties of emergent collective behavior in a system of interacting autonomous agents. The system evolves in time according to two rules of communication, one from interactions between agents and another one from interactions of the agents with an additional agent which evolves in time in a periodic and stable manner. The application of these two rules is decided by a prescribed probability distribution. We analyze the emergence and the efficiency (coordination) with which collective patterns are constructed in time as a function of the parameters of the system.

Voronoi Analysis of a Soccer Game

2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim
Keyword(s):  
Collective Behavior ◽  
Quantitative Assessment ◽  
The Other ◽  
Analysis Method ◽  
Random System ◽  
Soccer Game ◽  
Voronoi Polygons ◽  
The Mean

This paper describes a Voronoi analysis method to analyze a soccer game. It is important for us to know the quantitative assessment of contribution done by a player or a team in the game as an individual or collective behavior. The mean numbers of vertices are reported to be 5–6, which is a little less than those of a perfect random system. Voronoi polygons areas can be used in evaluating the dominance of a team over the other. By introducing an excess Voronoi area, we can draw some fruitful results to appraise a player or a team rather quantitatively.

Sign in / Sign up

Export Citation Format

Share Document