It is impossible to measure the infinitely complex world in which we live.
ERIS—2000 is a scientific instrument invented by cybernetician Erica Symms in 1971. It was used to show and study, through a simplified simulation, the consequences of human decisions on complex systems.
The device is covered with an array of operational switches including twelve potentiometers fitted to the top surface. Turning the device on, the machine calibrates itself and starts emitting sound.
The scientist can intervene with the system by dragging one of the potentiometers out of place. This causes a change in the system represented by a fluctuation in the sound. Such an action has a cascading effect throughout the system as its neighbors move up and down their rails to compensate the difference. This allows us to observe how proximate components influence one another in a complex system and the resultant cascading effects.
As time elapses the sliders return to their original positions and the device’s behaviour returns to stability.
ERIS—2000 has been rediscovered via an informational video published by Birmingham Polytechnic and has been simulated by Information Experience Design students at the Royal College of Art.
Cybernetics is an approach for exploring regulatory systems, their structures, constraints, and possibilities. During 50s, 60s and 70s this approach kept expanding into many scientific fields, developing our understanding of complex systems. Nowadays most of this research is underrepresented and not known by the general public. Individuals such as Stafford Beer, Ranulph Glanville, Norbert Wiener and Gordon Pask made progress in the field. Project Cybersyn is an iconic example where a cybernetic system was used to analyze and make decisions for the Chilean government.
The aesthetics, politics and science from this time period has been synthesized in ERIS-2000 which both explains how a complex system works and comments on this important time period.
A complex system is comprised of many simple components coupled together. The system’s complexity increases with the number of these components. Relations between components are non-linear meaning a small perturbation in one or more components can lead to cascading effects influencing the system’s behaviour.
Components in the system may be ignorant of the behaviour of the system as a whole, responding only to the information or physical stimuli available to them. This causes interactions to be primarily but not exclusively with immediate neighbours.
The relations between components contain feedback loops that may be positive (amplifying) or negative (damping). The effects of a component’s behaviour are fed back to in such a way that the component itself is altered.
Note that a complex system requires a constant flow of energy to maintain its organisation, unlike a chaotic system. It will eventually return to a regular state after experiencing a cascading effect.
Noticing that (i) Cascading effects in complex systems can be caused by human error or intervention, and that (ii) Humans find it difficult to observe the cascading effects they cause at a wider scale, ERIS-2000 was a tool created to communicate the wider effects of human intervention on a complex system.