Robot Behavior Using Distributed Learning Classifier System | ||
| Engineering and Technology Journal | ||
| Volume 24, Issue 6, June 2005, Pages 618-631 PDF (1.74 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.30684/etj.24.6.1 | ||
| Author | ||
| Aladdin Jamel Abdulwahid Al Naji | ||
| Dept. of Computer science, University of Technology, Baghdad, IRAQ. | ||
| Abstract | ||
| Abstract Robot has become such a prominent tool that it has increasingly taken a more important role in many different industries because it operates with great efficiency and accuracy . In this paper genetic algorithms are used to learn complex behaviors for robot using distributed learning classifier systems as a control system . To investigate this goal is proposed a simulation system . This system uses a simulated environment with simulated robots . Because it takes far less time to run experiments in simulated world than in the real world , a much greater number of design possibilities can be tested . Also simulated environment have proved very useful to test design options , and the results of simulations turned out to be robust enough to be carried over to the real world without major problems . | ||
| Keywords | ||
| Keywords: Robotics; classifier system; machine learning | ||
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