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I will first define what I mean by hierarchical behavior and give some examples Then the presentation will have two parts: the first half will be about analyst-driven hierarchical behavior learning. The second half will be about self-driven hierarchical behavior learning. The first par is situated in the framework of knowledge discovery from database. That is how an analyst learns something from data describing the activity of a subject. I will present a system that we have implemented for trace analysis I will give example analysis Then I will discuss how we can make this learning mechanism autonomous. It is situated in the domain of developmental learning. I will present an algorithm for self-motivated hierarchical sequence learning.