A Connectionist Architecture for the Evolution of Rhythms

In this paper we propose the use of an interactive multi-agent system for the study of rhythm evolution. The aim of the model proposed here is to show to what extent new rhythms emerge from both the interaction between autonomous agents, and self-organisation of internal rhythmic representations. The agents' architecture includes connectionist models to process rhythmic information, by extracting, representing and classifying their compositional patterns. The internal models of the agents are then explained and tested. This architecture was developed to explore the evolution of rhythms in a society of virtual agents based upon imitation games, inspired by research on Language evolution.

• Type: Conference
• Year: 2006
• Where: EVOW
• Authors: João Magalhães Martins, Eduardo Reck Miranda
• Keywords: Artificial Intelligence, Autonomous Agents, EVOW 2006, Internal Rhythmic Representations, Rhythms