Imitation is a powerful mechanism in human society, and has proven its usefulness in machine learning. This paper describes the notion of goal-directed imitation and its possible role in realizing self-adaptive systems. The conditions for its application are analyzed. We illustrate the working of imitation in self-adaptation by means of a small example.
Citation:
Marcel Hiel, Hans Weigand, "Requirements on the Use of Goal-Directed Imitation for Self-Adaptation," dexa, pp.98-102, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006