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CURRENT MEMBERS

Below is a list of the doctorate members actively conducting research at CIRG. Click on each name for more detailed information on the researcher and his/her project.


M Snyman

PhD Started in 2009

P Raharja

PhD Started in 2009

M Mtshali

PhD Started in 2009

B Kalema

PhD Started in 2009

J Grobler

PhD Started in 2009
M.Eng Completed in 2009

M Ahmad

PhD Started in 2009

T Museba

PhD Started in 2008

L Li

PhD Started in 2008

C Naicker

PhD Started in 2007
M.Sc Completed in 2006
Hons-B.Sc Completed in 2002

K Malan

PhD Started in 2007

M Greeff

PhD Started in 2007

B Baridam

PhD Started in 2007

MC du Plessis

PhD Started in 2006

D Constantinou

PhD Started in 2006

A Graaff

PhD Started in 2005
M.Sc Completed in 2003

N Franken

PhD Started in 2005
M.Sc Completed in 2004
Hons-B.Sc Completed in 2002

A Ismail

PhD Started in 2005
M.Sc Completed in 2001

ALUMNI

Below is a list of previous doctorate members that conducted research at CIRG. Click on each name for more detailed information on the researcher and his/her project.


L Schoeman

PhD Completed in 2010

P Lutu

PhD Completed in 2010

S Khan

PhD Completed in 2009

D Rodic

PhD Completed in 2005
M.Sc Completed in 1999

M Omran

PhD Completed in 2005

F van den Bergh

PhD Completed in 2002

MEMBER PROFILE



 Name:

 Daniel Rodic

Portrait photo

 E-mail:

 Daniel.Rodic@namitech.com

 Group(s):

 Multi-Agent Systems
Data Mining

 

 Degree specific information: PhD

 Title:

 Intelligent Distributed Agent Based Architecture, INDABA

 Abstract:

This thesis presents work done on developing a multi-robot system architecture for cooperation. The thesis and the architecture presented herein focuses on two aspects of a multi-robot systems that form INDABA: Hybrid Agent Architecture and Framework for Cooperation. Hybrid Agent Architecture presented here combines the sub-symbolic knowledge representation layered architecture with a symbolic layer that allows for deliberative cooperation and social relationships. In this manner, the best characteristics of both approaches are utilised while their weaknesses are rectified by such a complementary approach. The Framework for Cooperation fully utilises a symbolic portion of the agents participating in the architecture in order to provide a framework for positive interaction - cooperation. The framework caters for heterogeneous agents with not necessarily a common set of beliefs, desires and intentions. From a topological view, the architecture presented in this thesis is a hybrid architecture. There is a central component of the whole system (centralised approach) but it is by no means the controlling component (decentralised approach). The central component of the system has more of a facilitating than controlling role.

 Supervisor / Co-Supervisor:

 AP Engelbrecht

 Thesis:

 Not available for download yet.

 

 Degree specific information: M.Sc

 Title:

 A Hybrid Heuristic Approach for Rule Extraction

 Abstract:

The topic of this thesis is knowledge discovery algorithms. The knowledge discovery process and associated problems are discussed, followed by an overview of three classes of artificial intelligence based knowledge discovery algorithms. Typical representatives of each of these classes are presented and discussed in greater detail. Then a new knowledge discovery algorithm, called Hybrid Classifier System (HCS), is presented. The guiding concept behind the new algorithm was simplicity. The new knowledge discovery algorithm is loosely based on schemata theory. It is evaluated against CN2, C4.5, BRAINNE and BGP. Results are discussed and compared. A comparison was done using a benchmark of classification problems. These results show that the new knowledge discovery algorithm performs satisfactory, yielding accurate, crisp rule sets. Probably the main strength of the HCS algorithm is its simplicity, so it can be the foundation for many possible future extensions.

 Supervisor / Co-Supervisor:

 AP Engelbrecht

 Thesis:

 Not available for download yet.




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