| fish,
plant, rack - 2004
quasi
symbiotic environment for machine, fish and hydroponics
‘fish,
plant, rack’ allows the navigational electrical discharges
of the virtually blind elephant fish ‘gnathonemus petersi’
to instruct the actions of a robot whose task is to monitor the
development of plants in a hydroponic system. Using the AI system
‘DharmAi’ designed by Brian Lee Dae Yung, the robot
listens to the audible incoming stream of pulses from the fish and
interprets emerging patterns and densities of clicks as parameters
for actions. Gradually building up a more and more comprehensive
understanding of the hidden language within these signals, the robot
is able to go about its tasks in a way that is increasingly dictated
by the fish. The robot is also free to express its ‘feelings’
about the conditions of the plants and its relationship with the
fish through a series of sound and light signals and motions configured
to convey excitement, awe, anxiety and disappointment.
Ultimately the fish is (we believe) unaware that it is indirectly
maintaining watch and at times care over the plants – its
only feedback being the images relayed to a screen near its tank
from the robot’s on-board micro-video camera. The plants are
(we believe) unaware that they are being maintained by a fish. The
robot, despite its sophisticated intelligence, is a slave to the
fish and to the plants and is caught in a one-dimensional arena
which allows it to express itself only within prescribed limits.
In a situation that accommodates three different forms of intelligence,
what might evolve when each is being shared or exchanged with the
others?
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