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Not available for purchase in India
This first course in the two-part program, Generative Art and Computational Creativity, proposes an introduction and overview of the history and practice of generative arts and computational creativity with an emphasis on the formal paradigms and algorithms used for generation. The full program will be taught by Associate Professor from the School of Interactive Arts and Technology at Simon Fraser University and multi-disciplinary researcher, Philippe Pasquier.
On the technical side, we will study core techniques from mathematics, artificial intelligence, and artificial life that are used by artists, designers and musicians across the creative industry. We will start with processes involving chance operations, chaos theory and fractals and move on to see how stochastic processes, and rule-based approaches can be used to explore creative spaces. We will study agents and multi-agent systems and delve into cellular automata, and virtual ecosystems to explore their potential to create novel and valuable artifacts and aesthetic experiences.
The presentation is illustrated by numerous examples from past and current productions across creative practices such as visual art, new media, music, poetry, literature, performing arts, design, architecture, games, robot-art, bio-art and net-art. Students get to practice these algorithms first hand and develop new generative pieces through assignments and projects in MAX. Finally, the course addresses relevant philosophical, and societal debates associated with the automation of creative tasks.
Music for this course was composed with the StyleMachineLite Max for Live engine of Metacreative Inc.
Artistic direction: Philippe Pasquier, Programmation: Arne Eigenfeldt, Sound Production: Philippe Bertrand
" I found the course to be very enriching and complete in what it covers and I enjoyed doing the course work. We discovered a wide range of artists in all fields of art and the course is up to date. The coursework is well thought out and the homework not only allow us to apply what we learned but to go further in our personal artistic practice if we wish. "
Below you will find an overview of the Learning Outcomes you will achieve as you complete this course.
• Ability to describe and apply the algorithms used for generative art and computational creativity using the following paradigms: randomness, noise, rule-based systems, agents and Multiagent systems and ecosystems, as well as cellular automata and artificial life.
• Ability to design, implement, and test generative systems by using MAX at an intermediate to advanced level.
Arne Eigenfeldt is a composer of live electroacoustic music, and a researcher into intelligent realtime music systems. His music has been performed around the world, and his collaborations range from Persian Tar masters to contemporary dance companies to musical robots. He is currently a professor of music and technology at Simon Fraser University, Canada, and is the co-director of the MetaCreation Lab (metacreation.net), which aims to endow computers with creative behaviour.
His research into intelligent musical agents has been presented at conferences such as ICMC, NIME, ISMIR, ICCC, GECCO, EvoMusArt, EMS, SMC, ISEA, and CHI, while the artistic output of his systems have been shown at ICMC, SMC, ISEA, SEAMUS, and Generative Arts.
• Skill Level: Students should have intermediate knowledge of Max/MSP in order to complete assignments.
• Equipment: PC or Mac computer with installation privileges.
• Software: MAX 7 license
PLEASE NOTE: Taking part in a Kadenze course as a Premium Member does not affirm that you have been enrolled or accepted for enrollment by the institution offering this course. Credit Eligible students should be prepared to provide additional information and consent to Simon Fraser University terms of service at the start of the course.
In order to receive college credit for these program courses, you must successfully complete and pass all 2 courses in this program. If a student signs up for the Generative Art and Computational Creativity program, it is recommended that these courses are taken sequentially.
*Partial credit will not be awarded for completion of only one course.
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