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Intersections - Nguyen Dang Binh

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oredomresearch<br />

randomSeed 001<br />

22 inches x 22 inches<br />

Computational image<br />

ARTIST STATEMENT<br />

The randomSeed works were developed after extensive research<br />

into computational models used in the study of artificial life. In part,<br />

this was undertaken during boredomresearch’s residency at Artsway<br />

in the New Forest, United Kingdom (2002–2003). During this time,<br />

the artists deconstructed the process of building computational program-dependent<br />

artworks. Reversing the normal trend of translating<br />

physical properties into electronic form, boredomresearch de-digitised<br />

their artistic practice, converting programmed works into a<br />

paper-based form. This led to an interest in computational models<br />

that predated electronic computing. In particular, the artists were<br />

fascinated by cellular automata. Despite the fact that it is now predominantly<br />

being created on computers, this technique for modelling<br />

artificial life was originally executed on graph paper and allegedly<br />

conceived using broken plates on the tiled floor of its inventor’s (John<br />

Conway) kitchen. This drew the artists’ attention to the high level of<br />

visual complexity that can be achieved from the repeated execution<br />

of very simple rules, and they developed an extensive range of cellular<br />

automata-based rules and systems before finally arriving at the<br />

ones implemented in randomSeed.<br />

It is all too easy to simply think of space as the stuff we move around<br />

in and time as duration. For boredomresearch, the interesting quality<br />

of cellular automata is the incredibly intricate patterns revealed as<br />

a product of their space-time continuum. Viewed as a static image,<br />

time is no longer the perception of change but something more<br />

beautiful. In randomSeed, the image represents a record of the<br />

machine’s movements and can also be thought of in this way.<br />

CONTACT<br />

Vicky Isley & Paul Smith<br />

boredomresearch<br />

80 langdown Road<br />

Hythe Southampton SO45 6EQ<br />

United Kingdom<br />

siggraph@boredomresearch.net<br />

www.boredomresearch.net/randomseed<br />

boredomresearch are interested in how they can’t predict the images<br />

created as the machines respond to their environment. The main<br />

attraction in building this work is observing the different outcomes<br />

of the innumerable permutations that are outside of the artists’ aesthetic<br />

control.<br />

TECHNICAl STATEMENT<br />

In randomSeed, tiny creature-like objects can be observed busily<br />

moving about in encapsulated worlds, like “workers” in an ant’s nest.<br />

boredomresearch have created simple movement instructions for<br />

their “workers” (which they refer to as machine heads). They march<br />

out from the centre of their world, leaving movement traces by<br />

changing pixel colour.<br />

The audience finds itself absorbed by the intricate and beautiful<br />

images the machine heads make by following simple rules. Eventually,<br />

the machine heads fill their world with different coloured pixels<br />

and can no longer move in straight lines. Their behaviour changes as<br />

their environment becomes increasingly complex. Finally, their world<br />

takes on a textured appearance similar to granite.<br />

By slightly varying the machine-head instructions within different<br />

systems, randomSeeds can create a huge range of diverse images.<br />

In one randomSeed system, machine heads leaving the circle return<br />

to the opposite side; in the other system, they are placed back in the<br />

centre. After running both these systems for a couple of months, you<br />

can appreciate the subtle differences in how the images develop.<br />

But however many times a system is relaunched, the artists still find<br />

themselves surprised by the beauty and intricacy of the images.<br />

Artworks Art Gallery Electronic Art and Animation Catalog

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