A knowledge-based intelligent system for distributed and collaborative choreography

As a knowledge-intensive process, choreography is increasingly done in a collaborative and distributed environment. However, current research on digital choreography is mainly focused on developing digital tools to facilitate the design of movements, spaces, effects, etc. while little work has been done on capturing and supplying knowledge to support decision-making in particular when multiple experts are involved in the choreography process. In this research, a knowledge-based intelligent system is proposed to effectively capture useful knowledge from a complex choreography process and to provide intelligent support to various experts in a distributed environment. Specifically, the system framework of a distributed and collaborative choreography scheme enabled by advanced computing technologies is proposed. A knowledge representation model is developed based on design rationale to represent both procedural and causal knowledge. A prototype system is also designed in this work and its key technologies are developed. A literature search has shown that little work has been found on knowledge-based intelligent support for choreographers. A preliminary evaluation of the methods in a real-world example shows that they have a range of advantages and more importantly this works opens up opportunities for this new area of work.