Exploring Organizational-Learning Oriented Classifier System in Real-World Problems

摘要: Learning Classifier Systems (LCSs) [12, 13, 14] are often compared with Reinforcement (RL) [21]. Such comparisons suggest that many theoretical analyses have been studied in the context of RL, while few LCSs. However, LCSs applied to real-world problems, RL is rarely applied. Examples include aircraft maneuvers [10, 19], controller or action planning a physical robot [7, 20], trading stock market [17], electric power distribution networks [26], data mining from large clinical database [11], Wisconsin breast cancer dataset [29], and others [6]. These examples show great advantage comparison RL.