On Computational Models of the Evolution of Music
From the Origins of Musical Taste to the Emergence of Grammars
Bibliographic Data
| ID | 5051482 |
|---|---|
| Authors | Eduardo Reck Miranda (0000-0002-8306-9585, University of Plymouth), Simon Kirby (0000-0002-6496-1340, University of Edinburgh), Peter M Todd (0000-0003-0231-513X, Max Planck Society), Peter Todd |
| Year | 2003 |
| Volume | 22 |
| Issue | 3 |
| Pages | 91-111 |
| Publication date | 2003-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Contemporary Music Review (JOURNAL) |
| Journal identifiers | ISSN: 0749-4467 • E-ISSN: 1477-2256 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0749446032000150915 |
| OpenAlex | W1970212462 |
| Language | EN |
| Citations received | 5 |
| References cited | 3 |
Evolutionary computing is a powerful tool for studying the origins and evolution of music. In this case, music is studied as an adaptive complex dynamic system and its origins and evolution are studied in the context of the cultural conventions that may emerge under a number of constraints (e.g. psychological, physiological and ecological). This paper introduces three case studies of evolutionary modelling of music. It begins with a model for studying the role of mating-selective pressure in the evolution of musical taste. Here the agents evolve "courting tunes" in a society of "male" composers and "female" critics. Next, a mimetic model is introduced to study the evolution of musical expectation in a community of autonomous agents furnished with a vocal synthesizer, a hearing system and memory. Finally, an iterated learning model is proposed for studying the evolution of compositional grammars. In this case, the agents evolve grammars for composing music to express a set of emotions
Art · Cognitive science · Linguistics · Literature · Musical · Rule-based machine translation · Taste · Communication · Computer Science · Evolutionary Algorithms and Applications · History · Language and cultural evolution · Music and Audio Processing · Philosophy · Psychology · Artificial Intelligence
| Citations per year | 0.25 |
|---|---|
| Citation span | 2006 - 2023 (18) |
| Highly cited | No |