Distributed Artificial Intelligence
Distributed Artificial Intelligence
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Computers and musical style
Understanding music cognition: a connectionist view
Representations of musical signals
An expert system for harmonizing Chorales in the style of J. S. Bach
Understanding music with AI
Emergent coordination through the use of cooperative state-changing rules
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
Mutually Supervised Learning in Multiagent Systems
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
A framework for problem-solving in a distributed processing environment.
A framework for problem-solving in a distributed processing environment.
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The system presented here shows the feasibility of modeling the knowledge involved in a complex musical activity by integrating sub‐symbolic and symbolic processes. This research focuses on the question of whether there is any advantage in integrating a neural network together with a distributed artificial intelligence approach within the music domain. The primary purpose of our work is to design a model that describes the different aspects a user might be interested in considering when involved in a musical activity. The approach we suggest in this work enables the musician to encode his knowledge, intuitions, and aesthetic taste into different modules. The system captures these aspects by computing and applying three distinct functions: rules, fuzzy concepts, and learning. As a case study, we began experimenting with first species two‐part counterpoint melodies. We have developed a hybrid system composed of a connectionist module and an agent‐based module to combine the sub‐symbolic and symbolic levels to achieve this task. The technique presented here to represent musical knowledge constitutes a new approach for composing polyphonic music.