Modelling the Knowledge Base of the Human Expert for Football Technical Advising: A preliminary design.

EXPERT SYSTEM

Modelling the Knowledge Base of the Human Expert for Football Technical Advising: A preliminary design.

Problem Statement

Findings has shown that researchers and developers in the field of Artificial Intelligence in their contributions to the development of expert system has not seen to the development of an expert system that will be used for football technical advising through giving an assisting expertise advise to the human technical adviser. Expert systems developed so far were on prediction of the results of football games (Min, et al, 2007; Rotshtein, et al, 2003).

Research Questions

In the cause of developing the Expert System model for football technical advising, the following research questions will be answered:

1.      Could the knowledge found in the human expertise of a football technical adviser be engineered to algorithm?

2.      Is the rule-based algorithm suitable for the knowledge base of the expert system model?

Research Objectives

The main objective of this research is to design a model suitable for developing a football technical advising expert system. Also, the research will achieve the following sub-objectives:

1.      To establish the workability of engineering the knowledge domain of a football technical adviser expertise to algorithm.

2.      To establish the suitability of rule-based algorithm in developing the knowledge base of a football technical advising expert system.

Research Scope

The research study will centre on the designing of a model suitable for being used for developing an expert system for football technical advising using the rule-based approach; having Expert models assessment, Knowledge Acquisition, Knowledge Engineering by creating the rule-based algorithm  and finally Model Designing as the phases of the study.

Deliverables

At the end, this study will achieve a model suitable for developing an expert system for football technical advising; establish the feasibility of knowledge engineering and suitability of rule-based algorithm in developing the expert system model.

Also, such system when finally develop will assist the football technical adviser in giving technical advise devoid of emotion which will ultimately enhances their expertise performance in football technical advising.

Lastly, the research will significantly contribute to the body of knowledge in the field of Expert system by being the firstly designed model for the development of football technical advising expert system.

References

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