System

The project focuses on the evolution of autonomous machines and their ability to overcome the limits of pre-programmed behaviour through adaptive mechanisms. The research explores how algorithm-driven machines can faithfully accomplish their goals while discovering new and unpredictable ways to achieve them. Applying the principles of evolutionary algorithms and feedback, entities emerge whose behaviour continuously evolves through interaction with the environment and individual experience. An interactive installation forms an ecosystem in which these electronic organisms learn to survive. Seeking energy sources, responding to environmental stimuli and interacting with each other, they balance on the thin line between artificial and biological systems. The project examines the transition from passive tools to active actors and aims to contribute to the debate on the current role of machines and their integration into our world. The installation creates a platform for the observation of emergent phenomena and the evolution of behaviour in artificial systems.