ColorAcademy 2005 - Artificial Intelligence

Artificial Intelligence

There seems a possibility that a consideration of colour might be helpful in one’s investigation into Artificial Intelligence, especially when one moves into areas that might be considered emotive and incalculable, that is to say if it’s important to keep control over the many channels of communication that are involved in Artificial Intelligence, then there is a possibility that the six primaries of colour, additive and subtractive, might help to provide at least six ofthe seven

mathematician Shannon pointed out as the limit of human capabilities of communication. Moreover within each of the colour channels, red, blue and green, and cyan, yellow and magenta, there are further divisions such as tones of light and dark. Indeed white and black may well be added as further channels to compliment the primaries.

It may be helpful to visualise these parameters in terms of the colour solid (see the Classification section and Aesthetics) because it is possible to cut across the colour

solid and think in terms of Stimulant colour from the upper and outermost zones of the colour solid, the Power zone which girdles most of the colour solid, the Austere colours, and the Subdued nuances. .Within all these parameters it might well be possible to visualise a multiplicity of clearly discernable ‘information quanta’. Another useful approach in this area may be seen in Sony’s ‘Emotion Engine’ that is fitted into their latest games console, the Playstation 2.

DP & BT

Bibliography

ALEKSANDER, I and BURNETT, P. (1987) Thinking Machines. Oxford: Oxford University Press. Basic colour diagrams are used by 4i Design Partnership at Imagine.

NOBBS, J. (2001) Establishing Colour Emotional Scales Chelsea and Westminster Hospital: The Gleeson Lecture Centre (Colour Group, Great Britain) 17th January Dr James Nobbs outlined research efforts at Leeds University to establish the methodology of relating colour-emotion scales to coordinates in the CIE Lab colour space.

SHANNON, C.E. & WEAVER, W. (1949) A Mathematical Theory of Communication. Illinois: Illinois University Press. Shannon was a major contributor to communication theory, his book including theorems relating to Entropy, Relative Entropy, Redundancy, Channel Capacity, Encoding and Noise.