{"title":"Design and Simulation of a New Self-Learning Expert System for Mobile Robot","authors":"Rabi W. Yousif, Mohd Asri Hj Mansor","volume":26,"journal":"International Journal of Computer and Information Engineering","pagesStart":452,"pagesEnd":458,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/6525","abstract":"
In this paper, we present a novel technique called Self-Learning Expert System (SLES). Unlike Expert System, where there is a need for an expert to impart experiences and knowledge to create the knowledge base, this technique tries to acquire the experience and knowledge automatically. To display this technique at work, a simulation of a mobile robot navigating through an environment with obstacles is employed using visual basic. The mobile robot will move through this area without colliding with any obstacle and save the path that it took. If the mobile robot has to go through a similar environment again, then it will apply this experience to help it move through quicker without having to check for collision.<\/p>\r\n","references":"[1] Cornelius T. Leondes, Knowledge-Based Systems Techniques and\r\nApplications. San Diego, Calif.; Academic, 2000.\r\n[2] Ovidiu S. Noran. (2003). The Evolution of Expert Systems. Available:\r\nhttp:\/\/www.cit.gu.edu.au\/~noran\r\n[3] Levine Robert et al, AI and Expert Systems, McGraw-Hill, 1990.\r\n[4] Durkin John, Expert Systems: Design and Development, Prentice-Hall\r\nInt., 1994.\r\n[5] \u253c\u00e1\u251c\u00a1ma Jir\u251c\u00a1 & Neruda R., \"Neural Expert Systems\", Proceedings of\r\nIJCNN, Beijing, 1992.\r\n[6] \u253c\u00e1\u251c\u00a1ma Jir\u251c\u00a1 & Neruda R., Neural Networks as Expert System, Neural\r\nNetwork World, 2, 775-784, 1992.\r\n[7] Halvorson Michael, Microsoft Visual Basic 6.0 Professional Step by\r\nStep, Microsoft Press, 2002.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 26, 2009"}