Emergent behaviour: learning from an artificially intelligent performing software agent

Symposium:

• ISEA2015: 21st International Symposium on Electronic Art

• Generation and Human Factors

• Emergent behaviour: learning from an artificially intelligent performing software agent

• John McCormick
• Professor Kim Vincs
• Jordan Beth Vincent

• (Short paper)

  Keywords: Emergent behavior, dance, motion capture, distributed cognition, artificial neural network.

  This research investigates the possibility for emergent choreographic behaviour to arise from the interactions between a human dancer and a learning, digital performing agent. The cognitive framework is extended through theories of distributed cognition to take into account the two interacting agents rather than a single agent and its environment. The Artificial Neural Network based performing agent demonstrated emergent dance behaviour when performing live with the human dancer. The agent was able to follow the dancer, create movement phrases based on what the dancer was performing and recognize short movement phrases, as a result of the interaction of the dancer’s motion captured movement data and the agent’s artificial neural network. This emergent behaviour was not explicitly programmed, but emerged as a result of the learning process and the interactions with the human dancer.

• Full Text (PDF) p. 566-569

Category:

• Paper