Evolving Expressive Music Performance through Interaction of Artificial Agent Performers
نویسندگان
چکیده
We propose a model of expressive music performance (EMP), focusing on the emergence of EMP under social pressure, including social interaction and generational inheritance. Previously, we have reported a system to evolve EMP using Genetic Algorithm, exploring the effect of generational inheritance. This paper presents a system that evolves expressive performance profiles through social interaction, with a society of artificial agent performers. Each performer owns a hierarchical pulse set (i.e., hierarchical duration vs. amplitude matrices), representing a performance profile for a given piece. An agent performer evaluates a performance profile with a set of rules derived from the structure of the piece in question, and imitates others’ performances if appropriate. Then it modifies its pulse set accordingly. We demonstrate that suitable performance profiles emerge from social interactions where the diversity and the commonality of evolved performances are observed in the society of agents.
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