Library / Music and Dance Practice Engineering Principles Framework
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MDPE.Preface:7.5 - Robotic, AI, and equipped performance

These uses overlap the Music and Dance profiles and can be narrowed further by instrument, movement task, configuration, or receiving situation. Their common inheritance is the intended performance and the combination condition. Their substantial change is who or what holds the capability, which development Method can change it, and how the complete performing configuration is tested. The performer, the device being changed, and the person or team choosing the next development action may occupy different positions.

The Shimon material in MDPE.10:4 distinguishes robotic composition continuation and marimba performance from the human team’s practice-development decisions. The Jason Barnes material distinguishes human practice, prosthesis control, and their combined performing result. Test the musical task in the combined configuration before using a component benchmark to support a performance claim. MDPE.3 integrates the participants and interfaces; MDPE.10 selects human practice, control learning, calibration, or co-adaptation as appropriate; MDPE.12 limits the result to the tested material and conditions. Candidate movements produced by AI similarly need performer interpretation and embodied trials before they support a Dance result.

Choose this profile when those differences change action. A purely acoustic ensemble can use the Music profile without machine-specific development work. Transfer from a robotic Music case to Dance remains a separate question about the proposed body, task, coordination, and evidence. Further narrowing is useful when it exposes another changed move or test; overlapping membership alone adds no dependency or order. For example, one partner-Dance teaching trial can reuse both the social-Dance and teaching profiles while its live musician uses the live-coding branch. Their shared timing condition must be tested in the same performing whole.