Ant Clustering Algorithm by Cased-based Reasoning

This paper discusses the ant clustering algorithm by case-based reasoning to explore the behavior model on the corporation between ants. Every ant has a case base which is updated iteratively by the process of the case-based reasoning. The process considers past case and arrives at decision on comparison between the current and old cases. By the process, an ant can learn the knowledge for dropping an item and picking up items. Thus, these ants are capable of cooperating to share their knowledge for better clustering. Keyword: case base reason, ant clustering, behavior model, expert ant