Creating choreography with interactive evolutionary algorithms

Authors:
Jonathan Eisenmann;Benjamin Schroeder;Matthew Lewis;Rick Parent
Affiliations:
Computer Science & Engineering, The Ohio State University, Columbus, OH;Computer Science & Engineering, The Ohio State University, Columbus, OH;Advanced Computing Center for the Arts & Design, The Ohio State University, Columbus, OH;Computer Science & Engineering, The Ohio State University, Columbus, OH
Venue:
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part II
Year:
2011

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Abstract

Directing a group behavior towards interesting and complex motion can and should be intuitive, iterative, and often participatory. Toward this end, we present a choreographic system that enables designers to explore a motion space based on a parametric model of behaviors. Designers may work with the system by moving back and forth through two complementary stages: first, using an evolutionary algorithm to traverse the space of behavior possibilities, allowing designers to emphasize desired kinds of motion while leaving room for an element of the unexpected, and second, using selected behaviors to direct the group motion of simple performing creatures. In the second stage, evolved group motion behaviors from the first stage are used alongside existing high-level parametric rules for local articulated motion.