Performance Generating Systems in Dance e-bog
619,55 DKK
(inkl. moms 774,44 DKK)
Performance generating systems are systematic and task-based dramaturgies that generate performance for or with an audience. In dance, such systems differ in ways that matter from more closed choreographed scores and more open forms of structured improvisation. Dancers performing within these systems draw on predefined and limited sources while working on specific tasks within constraining rule...
E-bog
619,55 DKK
Forlag
Intellect Books
Udgivet
1 november 2022
Genrer
Performance art
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781789386417
Performance generating systems are systematic and task-based dramaturgies that generate performance for or with an audience. In dance, such systems differ in ways that matter from more closed choreographed scores and more open forms of structured improvisation. Dancers performing within these systems draw on predefined and limited sources while working on specific tasks within constraining rules. The generating components of the systems provide boundaries that enable the performance to self-organize into iteratively shifting patterns instead of becoming repetitive or chaotic.This book identifies the generating components and dynamics of these works and the kinds of dramaturgical agency they enable. It explains how the systems of these creations affect the perception, cognition and learning of dancers and why that is a central part of how they work. It also examines how the combined dramaturgical and psychological effects of the systems performatively address individual and social conditions of trauma that otherwise tend to remain unchangeable and negatively impact the human capacity to learn, relate and adapt. The book provides analytical frameworks and practical insights for those who wish to study or apply performance generating systems in dance within the fields of choreography and dance dramaturgy, dance education, community dance or dance psychology.Featured cases offer unique insight into systems created by Deborah Hay and Christopher House, William Forsythe, Ame Henderson, Karen Kaeja and Lee Su-Feh.