Agenda

"We hear form the ECLT network" series:

"Collective Intelligence in Living/NonLiving systems"

Takashi Ikegami
University of Tokyo

8th July 2022, 3.00 PM CEST

Participate in presence at Ca' Bottacin, Dorsoduro 3911, Calle Crosera, 30123 Venezia
If you wish to participate via ZOOM, please use link.

Abstract:

In experiments with biological populations, it is now possible to identify, track, and trace all individuals. Various machine learning methods can also be applied. What new collective knowledge can be seen there as a result: computer simulations of Boids model groups and the evolution of web services show that quantity turns into quality. What are the common properties of these life and non-life populations? In particular, I would like to discuss how  Tetrahymena populations evolve over time, how phenotypic changes and its inheritance can be studied.

Short bio:

Takashi Ikegami is a professor in the Department of General Systems Sciences at the University of Tokyo. His works encompasses both the arts and sciences and deal with complex systems and artificial life. He received his doctorate in physics from the University of Tokyo in 1989. His research is centered on complex systems and artificial life, a field that aims to build a possible form of life using computer simulations, chemical experiments, and robots. Some of these results were published in the book Life Emerges in Motion in 2007. Takashi Ikegami frequently attends the International Conference on Artificial Life, and gave the keynote address at the 20th Anniversary of Artificial Life conference in Winchester, UK.
He is also a member of the editorial boards of Artificial Life, Adaptive Behavior, BioSystems, and Interaction Studies.

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