Abstract
we propose an augmented interactive evolutionary
computation technique to generate a symbol sequence,
which is composed of several partial sequences. We
introduce two-levels of feedback mechanism for
evaluations, where the inner cycle induces an evolution
of prediction agent for evaluation realised by a hidden
Markov model, and the outer cycle induces an
interaction with the user by selecting the candidate
generated by the prediction agent. We describe, first,
the process of augmented interactive evolutionary
computation, and discuss the cooperative generation of
sequences, which affects an anticipatory effective
creation of formed sequence such as a music score.
Next, we show several experimental results, which
provide the generation of partial sequences and formed
sequence.
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