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Title:

Generative Art II - The Art of Complexity

Your vote:
Level:
Advanced
Type:
Panel
Category:
New Technology / Next Generation
Presenter:
Philip Galanter, Asst. Prof. Department of Visualization, Texas A&M University
Description:
Artists have always learned from nature. Complexity science provides a new interdisciplinary understanding of systems in nature such as ant colonies, weather patterns, the brain, the mind, evolution, the rise and fall of human societies, and more. This second of two sessions presents an advanced look at how generative artists are harnessing complexity through the use of genetic algorithms, chaos, cellular automata, artificial life, neural networks, L-systems, reaction diffusion systems, and more. We've seen the future of art and it's beautifully complex!
on 8/8/08
Awesome. Worth attending just for this presentation.
on 11/8/08
Here are some examples of the kinds of questions this session will address: What is Complexity and how does it relate to Generative Art? What is emergence and how can it contribute to making art? How can I simulate evolution in a computer, or across a network, and use it to make art? What is cellular automata and how can I use it to make music? Can I make art using the same kind of reaction diffusion systems that decorate sea shells and animal fur? How do L-systems simulate the branching structures of plants, and how is it useful in art and computer animation. How is chaos different from randomness...and why should artists care? How can artificial life be made to be more like real life? What is just over the horizon of Generative Art? How do I get started and where can I go to learn more about this stuff? - Philip Galanter 08/11/08
on 11/8/08
Confirmed speaker for this panel - Philip Galanter ||| Philip Galanter is an artist, theorist, curator, and Assistant Professor at Texas A&M University in the Visualization Department. Previously he was the Associate Director for Arts Technology at New York University and adjunct faculty at NYU's Interactive Telecommunications Program. He holds an M.F.A. from the School of Visual Arts and specializes in generative art and complexity theory.||| website -> http://philipgalanter.com
on 11/8/08
Confirmed speaker for this panel - Scott Draves ||| Software artist Scott Draves writes algorithms that run on a network of 60,000 computers and people all over the world, creating abstract art with artificial intelligence. His artwork is exhibited in Google's headquarters and permanently hosted on MoMA.org.||| website -> http://scottdraves.com
on 11/8/08
Pending later details and confirmation, speaker for this panel - Jer Thorp ||| Jer Thorp is an artist and educator from Vancouver, Canada. A former geneticist, his digital art practice explores the many-folded boundaries between science and art. Thorp’s award-winning software-based work has been exhibited in Europe, Asia, North America, South America, and Australia and all over the web.||| website -> http://blprnt.com
on 11/8/08
New technology has enabled us to visualize complex information in areas where we never knew there was any meaningful information. Generative Artist have been using this complex data to create amazing works of art that not only show something beautiful, but show the hidden complexity of our Universe. I vote for this panel.
on 13/8/08
Confirmed speaker for this panel - Matt Lewis ||| Matthew Lewis is a researcher and instructor at ACCAD (the Advanced Computing Center for the Arts and Design) at The Ohio State University. He teaches and works with interactive performance and installation technologies, virtual environments, and generative art and design. ||| website -> http://accad.osu.edu/~mlewis/
Do it today!
Legend
    0
    Zilch - I have no interest in this idea.
    1
    OK - But this is not really my cup of tea.
    2
    Good - I might attend this panel.
    3
    Better - I probably will attend this panel.
    4
    Best - I will definitely attend this panel.
    5
    Amazing - This justifies my trip to SXSW.
T
= Technical panel
P
= Philosophical panel
B
= Beginner level
I
= Intermediate level
A
= Advanced level
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