Professor Takashi Ikegami
I have been working on the field of artificial life for more than 20 years. Evolution of genetic codes, mutation rates and cooperative relationships is one the main targets of my research. For example, complexity of coupled cognitive systems have been studied using dynamical recognizers and other recurrent neural (often embodied) systems. Recently, I am interested in constructing artificial life in the real world. To fruition the concepts developed through the study of artificial life, such as "autonomy", "enaction", "sustainability", and "evolvability", I have newly started several experimental and conceptual works, using an android (called Alter3), a large scale Boids model and other bio-chemical experiments.
Takashi Ikegami, Atsushi Masumori, jonhsmith and Norihiro Maruyama, in the proceedings of Artificial Life 2021 (Prague). Can Mutual Imitation Generate Open-Ended Evolution?
Takashi Ikegami, Yasuhiro Hashimoto and Mizuki Oka. Open-Ended Evolution and a Mechanism of Novelties in Web Services. Artificial Life, 2019 25:2, pp.168-177.
Takashi Ikegami, Yoh-ichi Mototake, Shintaro Kobori, Mizuki Oka, Yasuhiro Hashimoto: Life as an emergent phenomenon: studies from a large-scale boid simulation and web data, Phil.Roy.Soc.,375, pp.1-15, 2017.
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.
Takashi Ikegami, A Design for Living Technology: Experiments with the Mind Time Machine. Artificial Life, Summer/Fall 2013, Vol. 19, No. 3(4), pp. 387-400, 2013.
Martin M. Hanczyc and Takashi Ikegami: Chemical Basis for Minimal Cognition. Artificial Life. 16(3): 233-243, 2010.
Takashi Ikegami, Life-long Achievement Award, Artificial Life 2021.
Norihiro Maruyama is a PhD student at Ikegami laboratory. He is interested in the mind underlying sensing behavior by the system (human, animal or artificial life) in open environment. His research is conducted by wireless sensor network comprised of autonomous sensing nodes. Current works are making wireless sensor network, simulation of it and experiment in open space.
Atsushi Masumori is a master student at Ikegami laboratory. He is interested in an embodied mind. His current main research is a learning and memory on embodied cultured biological neural cells using closed-loop system where the cultured neural cells and an external device (for example, a robot) are interconnected. He is also working on a cognitive experiment using HMD (head-mounted display), headphone or other sensing devices. He is also interested in an artificial self-assembly system and developing some self-assembly systems; for example, a passively foldable self-folding device.
Researcher. He obtained Ph.D. in Physics from the University of Tokyo. Now, he is mainly working on the information-theoretical analysis of complex systems, such as collective behaviors of microbes, dyadic human interactions, and generative deep neural networks.
Born 1989 in Hyogo, Japan. Ph.D. in Arts and Sciences (Graduate School of Arts and Sciences, The University of Tokyo.) He studied molecular biology and neuroscience at Tokyo University of Science as undergraduate. His main research topic is relations between individual behaviors and the collective behaviors of a social insect, and also a subjective time which emerges in an artificial system. He has also been working as a sound artist. Recent his works include "Blues" (installation, 2017), "Peeling Blue" (CD, 2018), "Bee Wee" (installation, 2020), "Revision of Shadows" (installation, 2021). Also, he is active in sound productions and software programmings for the exhibition/installation. Major recent works include Alter"(sound/software programming, Award of Distinction of Ars Electronica).
Michael Crosscombe is a JSPS Postdoctoral fellow at Ikegami laboratory. He is interested in emergent collective intelligence. His research proposal seeks to discover the role that the underlying structures play in the emergence of macro-level behaviours in collective systems. Previously, he has developed models for collective decision-making in multi-agent systems and robot swarms.
External Lab. Members
Dr. Mizuki Oka
Dr. Mizuki Oka recieved the International Baccalaureate at the United World College of the Adriatic in 1998. Studied computer science at the University of Tsukuba where she obtained the Doctor of Engineering in 2008. Served also as a research fellow for the Japan Society for the Promotion of Science from 2005 to 2008. Currently working as a post-doc at the Center for Knowledge Structuring at the University of Tokyo in Japan. During her studies, she worked as an intern at several research institutes and companies including Google Inc. (2005.8-2005.9), and Microsoft Research Asia (2007.4-2007.9) and engaged in several projects related to extraction of knowledge from the Web. Currently, she is interested in applying Aritificial Life to understanding the dynamics of a Web system.
Dr. Yasuhiro Hashimoto
Doctor of Engineering, University of Tokyo
Dr. Alex Woodward
Dr. Alexander Woodward obtained a PhD majoring in Computer Science from the University of Auckland. During this time his main focus was on Computer Vision and real-time stereo 3D reconstruction. He is currently a Post-doctoral fellow at the Ikegami lab where he has collaborated with Takashi Ikegami on video-feedback systems sustained by recurrent neural network dynamics. His interests revolve around the study of complex systems, artificial life, parallel processing, machine learning, the brain, robotics, audio and music synthesis. Feel free to contact him to discuss any of these topics!
Dr. Ken Suzuki
Doctor of Philosophy, University of Tokyo
Toshiki Abe is a master student conducting research on the boundary between society and person, especially the personal decision making based on brain activity. His main research are the re-organization of behavior based on the analysis of monkey’s brain activity using ECoG data and the analysis of communication in mailing list of many project teams of his association. His unique perspective and method are the constructive approach to simulate society in real world to understand what society is. He consider the society as Life and try to know the mechanism of self-organization of society and human communication.
Daichi Sato is a Ph.D student at Ikegami laboratory.
Hiroki Sato is a Ph.D student at Ikegami laboratory. His backgrounds are paleontology and geology. He is interested in theory of evolutionary. His current research project is about evolution of artificial systems, especially evolution of internet memes.
johnsmith is a PhD student at Ikegami laboratory. He studied Media Art and Media Creation (Media Archaeology, Device Art, Human Computer Interaction). He has a background in Art and Engineering.
Part-time lectuarer of Tokyo Art University
Ryuzo Hirota is a Ph.D student at Ikegami Lab. He studied computer science and cognitive science at the University of Tokyo, and he is now interested in the Life-mind continuity thesis, Autopoiesis, and Enactivism. He is also working on transdisciplinary studies which integrate artificial life and philosophy, especially phenomenology.
Ryosuke Takata is a Ph.D student at Ikegami laboratory. He studies the emergence of collectivity through interactions between evolving or learning agents. He is also interested in autonomously generating "playful" interactions.
Kento Hara is a master's student at Ikegami laboratory.
Kenta Fusegi is a master's student at Ikegami laboratory.
Hiroshi Sakuma is a master's student at Ikegami laboratory. He graduated from Osaka University, where he studied Virtual Reality and Avatars. He is also the director at the Osaka Pavilion promotion committee for the 2025 World Exposition.
Kenichi Tomeoka is a master's student at Ikegami laboratory.
Yoh Suzuki is a master's student at Ikegami laboratory.
Riku Adachi is a master's student at Ikegami laboratory.
Takahide Yoshida is a master's student at Ikegami laboratory.