An a-life approach to machine learning of musical worldviews for improvisation systems

In this paper we introduce Interactive Musical Environments (iMe), an interactive intelligent music system based on software agents that is capable of learning how to generate music autonomously and in real-time. iMe belongs to a new paradigm of interactive musical systems that we call “ontomemetical musical systems” for which a series of conditions are proposed.

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