Generative Art and Computational Creativity
MP4 | ENG | Video: h264, yuv420p, 1920x1080 | Audio: aac, 48000 Hz | Duration: 11h:34m | Size File: 10.6 GB
Genre: eLearning
This program offers an in-depth overview of the history and practice of generative systems applied to creative tasks. After defining generative art and computational creativity, students will be introduced to the various families of algorithms from artificial intelligence, machine learning, and artificial life that have been used for generative processes so far. The lecture material is illustrated by numerous examples from past and current productions across creative practices such as visual art, music, poetry, literature, performing arts, design, architecture, games, bioart and robotic art. The coursework will have you putting some of these algorithms to practical use in developing new generative pieces using the graphical programming language Max. This program will provide you with an approachable but comprehensive knowledge of some of the most powerful algorithms out there while addressing relevant philosophical and societal debates associated with the automation of creative tasks.
Skill Level : Intermediate
Equipment: PC or Mac computer with installation privileges
Software: Max 7
Students should have intermediate knowledge of Max/MSP in order to complete assignments.
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