The 17th International FLAIRS Conference
South Beach Hotel
In cooperation with the
Intelligent Systems Technical Committee
It is conjectured by many that sound and music – its composition, its effects, and indeed its appreciation - is close to human biology and biological intelligence. Consequently, studying and understanding the secrets of biological intelligence through the study of music and modeling them on machines are endeavors many pursue.
This track will emphasize the core areas of AI and its impact on Music, as well as Music and its impact on Human Intelligence and AI. The focus of this special track will be on
Characteristics of Music and Human Intelligence.
Application of AI techniques to Music.
Topics of interest include:
Cognitive models and music recognition
Music abstraction and identification
Music synthesis and structural analysis
Application of AI techniques to generate music
Musicology and its application to AI
Qualitative analysis of Music
Music structures and human intelligence
Music and its impact on learning abilities
Neural Networks and Music
This can be a multi-session track – based on the number and quality of papers submitted.
Paper submissions which address the above areas are sought in all areas of AI including intelligent multi-agent systems, emergent systems, neural networks, expert systems, model-based reasoning, and knowledge acquisition, representation, and processing systems.
For more information visit FLAIRS 2004.
The invited speakers for the FLAIRS 2004, general conference are:
Justine Cassell, MIT;
Tom Mitchell, CMU
Sudharsan Iyengar, Computer Science Department, Winona State University
David Cope, Music Department, University of California, Santa Cruz
James Hoch, Music Department, Winona State University
Paul Schumacher, Computer Science Department,
Camera-ready copies due,
Details on submitting your paper and paper format can be found at: FLAIRS 2004. For questions related specifically to this track contact:
Sudharsan Iyengar, Computer Science Department,
103 D Watkins Hall,
phone: (507) 457-5539, fax: (507) 457-2464