1Researcher, Science and Technology Unit, Umm Al-Qura University, Makkah Al-Mukarramah, Saudi Arabia. sabiabani@uqu.edu.sa
2Assoc. Prof., Faculty of Computer Science and IS, Umm Al-Qura University, Makkah Al-Mukarramah, Saudi Arabia. agabuarafah@uqu.edu.sa
3Professor, Department of Engineering & Applied Science -Computers, MCC Umm Al-Qura University, Makkah Al-Mukarramah, Saudi Arabia. osama@khozium.com
Online published on 21 March, 2018.
The Unmanned Aerial Vehicle (UAV) mission planning is a very sensitive, complicated, time consuming and costly procedure. Currently, Most UAV missions are planned manually, and stored in the plane's own computer, which may contribute to some human errors and the risk of inaccuracy is still eminent.
In this paper, we build up a computer-based system for UAV mission planning. The suggested approach for developing such system is to investigate the possibility to utilize and integrate several problem-solving models and techniques in an integrated intelligent and traditional environment. The proposed system will use integration of Multi Agent System (MAS) and Common KADS (Knowledge Acquisition and Documentation, Structuring) methodologies to obtain accurate mission planning system.
Artificial Intelligence, Intelligence Operation, Detection, Agents Elicitation, Agent oriented system, Problem-solving
