EEERB: An Experience and Environment Based Evolutionary Rule Base for Simulated Exploration Robots

This paper proposes an experience and environment based evolutionary rule base (EEERB) system. With it the simulated exploration robots, also called robot agents perform a specific exploration towards their predefined goal with their individual increasing experience and shared information from their environment. The rule base is evolving with the individual increasing experience by applying genetic algorithm together with the reward scheme and the dynamic available information posted by the robot agents to the public shared board. A group of robot agents in the system, which are looking for the specified object in a 2-D grid field, is performed. The system for can be extended for the more practical applications such as a mine detector, a space exploration robot, and so on.