Control of agents in a multi-agent system using ZCS evolutionary classifier systems

Abstract

The paper shows the usage of ZCS evolutionary systems in a multi-agent system where each agent is controlled with a different classifier system. This approach was tested on the cleaning robot task with multiple robots cleaning the room. Each robot has like in the original cleaning robot task a limited amount of carried trash and when the robot's stack is full he must go to a container and take out the junk.