QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning

摘要: In this paper we continue the research on applying immune-inspired algorithms as search strategies to Qualitative Model Learning (QML). A new strategy based opt-AiNet is proposed, and results in development of a novel QML system called QML-AiNet. The performance QML-AiNet compared with previous work using CLONALG approach. Experimental shows that although not efficient CLONALG, approach still promising for learning qualitative models. addition, possible future further improve efficiency also pointed out.