Saturday 25th of July 2015, 8:45am-5:45pm.
This full day tutorial aims at introducing the field of musical metacreation (MUME), also known as generative music, and computational creativity. We present and discuss its current developments, promises, and challenges, with a particular focus on IJCAI-relevant aspects of the field.
Thanks to continued progress in artistic and scientific research, a new possibility has emerged in our musical relationship with technology: Musical Metacreation. MUME involves using tools and techniques from artificial intelligence, artificial life, and machine learning, themselves often inspired by cognitive and life sciences, to endow machines with musical creativity. Concretely, it brings together artists, practitioners and researchers interested in developing systems that autonomously (or interactively) recognize, learn, represent, compose, complete, accompany, or interpret musical data.
Besides introducing the field of musical metacreation (MUME) and its current developments, the tutorial brings to the front IJCAI-relevant aspects of the field, such as: human competitivness of generative music systems, for the collaboration between human performers and creative software “partners”, the development of software applications that foster and support computer-assisted musical creativity.
Talks take the form of State of the Art presentations followed by Q&A and discussion time.
- Name that MuMe: Introduction to Musical Metacreation (30 mins + 15 mins Q&A)
- MuMe and Variation: Classification, Ontology and Autonomy (45 mins + 15 mins Q&A)
- With examples of concert works and other generative systems from the MUME-WE concert series.
- Coffee Break
- Walking on the MuMe: Interfaces Design, Performance and Creative MuMeing (15 mins + 15 mins Q&A)
- Fruits of the MuMe part I: Current approaches, including Evolutionary Computation, Machine Learning and Statistical Methods, Heuristic and Expert Systems (60 mins + 15 mins Q&A)
- Fruits of the MuMe part II: Current approaches, including Evolutionary Computation, Machine Learning and Statistical Methods, Heuristic and Expert Systems (60 mins + 30 mins Q&A)
- Coffee Break
- A Kind of MuMe: Evaluation of MuMe Systems, Present and Future (45 mins + 15 mins Q&A)
- Presentation of Evaluation methods and trends based on concrete examples
- MuMe Over (30 mins)
- Critical discussion and future directions (open discussion led by tutorial organisers)
Audience and Registration:
The tutorial is meant to be equally appealing to experienced researchers that are dealing with generative systems, as well as those who are less familiar with the field of generative music.
Dr. Philippe Pasquier
Associate Professor, School of Interactive Arts + Technology (SIAT),
Simon Fraser University
Visit his website.
Philippe Pasquier is Associate Professor and Graduate Program Chair at Simon Fraser University’s School of Interactive Arts and Technology. He is both a scientist specialized in artificial intelligence and a multi-disciplinary artist. His contributions ranges from theoretical research in artificial intelligence, multi-agent systems and machine learning to applied artistic research and practice in digital art, computer music, and generative art. Philippe is the Chair and investigator of the AAAI series of international workshop on Musical Metacreation (MUME), the MUME-WE concerts series, the International workshop on Movement and Computation (MOCO) and the International Symposium on Electronic Art (ISEA2015). He has co-authored over 100 peer-reviewed contributions, presented in forums ranging from the most scientifically rigorous to the most creatively arty.