An Expert System Approach in Stock Selection Attractive for Investment

Expert systems are the most important part in the field of artificial intelligence. This universal technology for representation expert knowledge into valuable computer program may be implemented in different scientific fields such as engineering, law, economy etc. Knowledge engineering has to elicit knowledge from domain expert and transform it in shape applicable for languages of artificial intelligence or shells prepared for load production rules. In this paper is implemented the expert system methodology for supporting decisions in stock selection. Special focus and attention is given to domain knowledge distributed to many experts in finance, accounting, management, mathematicians. In building knowledge base of expert system EXFIN is implemented logical programming (programming langue Visual Prolog). Visual Prolog has shown satisfactory implementation and application power. Special property of expert system EXFIN is modularity and openness for further extension and improvement.