Systems which introspect about their own processes can improve their reasoning behavior in response to experience using "introspective learning" techniques. Many systems which perform introspective learning analyze and change only an underlyingdomain task's reasoning processes. They do not possess the ability to reflectively introspect about the introspective task itself. We present a model of a truly reflective introspective learning system which uses the same case-based reasoning mechanismsfor both its domain and introspective tasks. The reuse of case-based reasoning mechanisms enables the reuse of introspective models and mechanisms developed for a CBR domain reasoner to reflect about the introspective process itself. We suggest anintrospective model capable of reflection, and begin to address the issue of balancing introspection and action within a reflective system.
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