Kerosene fungus is a technophile organism living in fuel tanks. It uses the consequences of the Anthropocene to its evolutionary advantage. During the course of its metabolism, the fungus changes the smell of the fuel in which it has settled. This became the starting point for modeling chemical communication between bio- and cyber-organisms.
Kerosene fungus is a technophile organism living in fuel tanks. It uses the consequences of the Anthropocene to its evolutionary advantage. During the course of its metabolism, the fungus changes the smell of the fuel in which it has settled. This became the starting point for modeling chemical communication between bio- and cyber-organisms. Kerosene robots use smell to find each other and build relationships with each other based on data about the well-being of the kerosene fungus inside them (PH-meters, gas analysis, kerosene level).
In the event of two robots with matching strategies meeting (e.g., one is prepared to give out of altruism, or submit; another, to take kerosine), one robot can join with another to take its kerosine. Possibility of strategy alignment or disalignment complicates communication in the group, makes it unpredictable, thus allowing to see the fungus-machine’s action on the field as a sort of social interaction.
Bio
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Where Dogs Run
RU, SI
The Where Dogs Run group consists of Natalia Grekhova, Alexey Korzukhin, and Olga Inozemtseva. In their projects, the artists explore alternative computing, artificial intelligence, chemical communication between bio-and-cyber agents, olfactory pollution, biometric and other types of control. The group actively cooperated with many international institutions such as: ZKM (Germany), Goethe-Institut (Germany, Russia), KIBLA Multimedia Center (Slovenia), KGLU (Slovenia), Laznia CCA (Poland), M HKA (Belgium) and others.
Credits
The project was implemented on the basis of Zavod Kersnikova, in collaboration with AFF Projects and CultTech Association / Scientific Consultant: Anastasia Krivushina, PhD in bioscience / Programming: Sergey Mashkov . Technical Support: Gleb Andreev