The design of complex architectures and the
\nprecise organization of social insects have been
\nan important source of inspiration for artificial
\nintelligence and computational models.
\nEngineers have tried to understand how
\ncomplex decision-making processes can
\nemerge from interactions following simple
\nrules in insects societies. Research in animal
\ncognition found evidences that most of the
\nsocial capabilities of ant colonies are emergent
\nproperties of self-organizing processes.<\/p>\n
In this video installation, we put side by side the
\ntracking of ants and the path drew by a
\nmathematical model of a random walk, known
\nas \u201cthe drunkard walk\u201d. With this installation, we
\npropose to rethink the dualism of biological and
\ncomputational modes of decision-making. We
\nwish to explore ways in which agency emerges
\nboth in computational and biological processing.<\/p>\n
\n
Video installation, Coletivo Squiggle, in development<\/p>\n
\n