Analysis of Emerging Super-Organisms by Large-scale Tracking Experiments and Developing a New Theory of Collective Intelligence

In this project, we will use various machine algorithms to study the dynamics of living populations ( tetrahymena, honeybees, and fire ants ) and non-living populations (Boids model, Web tags) and their characterizations. In particular, we will analyze the large amount of data on individual tracking obtained from non-living systems and actual biological experiments to construct a new theory of emergent phenomena, especially macroscopic emergent phenomena called superindividuals. The final goal is to discuss the relationship between macro population aging (or vitality) and the behavior of micro individuals, and to deepen theoretical considerations.

Norihiro Maruyama,Daichi Saito, Yasuhiro Hashimoto, Takashi Ikegami. Dynamic organization of flocking behaviors in a large-scale boids model. Journal of Computational Social Science, 2019, pp.1-8

Olaf WItkowski and Takashi Ikegami. How to Make Swarms Open-Ended? Evolving Collective Intelligence Through a Constricted Exploration of Adjacent Possibles. Artificial LifeVolume 25 , p.178-197, 2019

Aleksandr Drozd, Olaf Witkowski, Satoshi Matsuoka, Takashi Ikegami: Critical mass in the emergence of collective intelligence: a parallelized simulation of swarms in noisy environments, Artificial Life and Robotics, 21.3: pp.317-323, 2016.

Takashi Ikegami, Naoto Horibe, and Martin Hanczyc : Potential Memory Effects in Self-Moving Oil Droplets, Int’l Journal of Uncon. Comp, pp.345-355, 2016.

Olaf Witkowski, Takashi Ikegami : Emergence of Swarming Behavior: Foraging Agents Evolve Collective Motion Based on Signaling, PLoS ONE, 11(4): e0152756, 2016.

Takashi Ikegami, Mizuki Oka: Massive Data Flows: Self-organization of energy, material, and information flows. 6th International Conference on Agents and Artificial Intelligence ICAART 2014, pp. 237-242, 2014.

Mizuki Oka, Yasuhiro Hashimoto, Takashi Ikegami : Self-organization on social media: endo-exo bursts and baseline fluctuations, PLoS ONE, 9(10): e109293. doi:10. 1371/journal.pone.0109293, 2014.

Nicholas Tomko, Inman Harvey, Nathaniel Virgo and Andy Philippides: Many Hands Make Light Work: Further Studies in Group Evolution, Artificial Life. 20(1), pp. 163-181, 2014