M.Sc. (Computer Science) / Artificial intelligence strives towards providing an autonomous mechanism by which the environments of humans may be affected beneficially. The steps taken towards this goal have been to create individual computer programs that solve small problems; however, larger world problems need to be addressed. Intelligence in computer systems cannot be seen as a single algorithm which solves all problems, but rather a set of distinctive algorithms which may be combined uniquely in order to achieve a particular goal. One field of application for artificial intelligence in service to humanity is robotics. Autonomous robotic entities are becoming more commonplace in society, making their behaviour an important topic of study. Machines capable of performing various activities in service of the human race are fundamentally important if they are to be trusted to perform activities which could affect the health or well-being of their creators. The aim of the following research is to present the autonomous two-level agent framework (ATAF), a framework for intelligent agents to operate within a robotic entity. The entity must be able to adapt to various environments and situations and react in a manner consistent with its environment.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:uj/uj:6854 |
| Date | 27 May 2010 |
| Creators | Balsdon, Quintin John |
| Source Sets | South African National ETD Portal |
| Detected Language | English |
| Type | Thesis |
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