@Graduate School of Informatics, Nagoya University

[Japanse page]

Reiji SUZUKI(鈴木麗璽), Ph.D.

Associate Professor

Department of Complex Systems Science

Graduate School of Informatics

Nagoya University


Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan


phone/fax: +81-52-789-4258



  • Reiji Suzuki
  • Zineb Alhamer (D1)
  • Shinji Sumitani (M2)
  • Takemi Morimatsu (M2)

  • Momoka Ito (M1)
  • Koichiro Hayashi (B4)
  • Hiroo Watanabe (B4)


  • Evolinguistics
    • We are investigating the origin and evolution of human language in terms of coevolution of biological evolution of linguistic abilities and cultural evolution of language, as a member of Emergent constructive approach team in Evolinguistics project
  • Evolution of artificial creatures
    • We are developing a simulation environment for evolution of artificial creatures in 2D/3D virtual spaces. We discuss eco-evo-devo using these frameworks, focusing on emergence of evolutionary novelty in morphological and behavioral traits.
  • Interaction between evolution and learning
    • Evolution and learning are different adaptive mechanisms that occur on different levels (population or individual) in biological populations. The Baldwin effect is one possible scenario of interactions between these mechanisms, where individual lifetime learning can guide the genetic acquisition of learned traits without the Lamarckian mechanism. We investigated how this effect occurs in dynamic or complex environments. For the former, we adopted the iterated Prisoner's Dilemma as a dynamic environment, introduced phenotypic plasticity into its strategies, and conducted evolutionary experiments. We found that a cooperative and robust strategy with a modest amount of phenotypic plasticity emerged through the Baldwin effect. For the latter, we constructed an evolutionary model of quantitative and plastic traits with epistasis by using an extended version of Kauffman's NK fitness landscape. The results showed that drastic changes in roles of learning caused three-step evolution through the Baldwin effect and also caused the evolution of genetic robustness against mutations.
  • Evolution and niche construction
    • Niche construction is the process whereby organisms, through their metabolism, activities, and choices, modify their own and/or each other's niches (source of selections). To clarify indirect interactions among species by niche construction of their shared environments, we constructed a new fitness landscape model termed the NKES model by introducing environmental factors and their interactions with genetic factors into Kauffman's NKCS model. Results showed that niche construction increased the average fitness among species by playing various roles depending on the ruggedness of the fitness landscape and the degree of the niche construction effect on genetic factors. We are also investigating the effects of spatial locality on the evolution of niche construction by using a spatial model of the evolution of strategies for Prisoner’s Dilemma in which niche constructions modify the payoff for success in cooperation. We found that the evolution of a niche-constructing gene was strongly affected by the degree of spatial locality of niche construction.
  • Coevolution of cooperation and structure of interactions
    • It is known that the structure of interactions can affect the emergence of cooperative behaviors. We focused on two essentially distinct factors of spatial locality: the scale of interaction (which decides neighboring members for games) and the scale of reproduction (which decides candidate individuals for offspring in each position). We conducted evolutionary experiments of strategies for a one-dimensional N-person iterated Prisoner’s dilemma with various settings of these two factors. The results revealed that these two factors brought qualitatively different effects to the emergence of cooperation. Furthermore, the introduction of the evolution of the scale of interaction facilitated the emergence of cooperation when the scale of reproduction was relatively small. Currently, we are investigating another simple model for the coevolution of cooperation and network in which the strategy for rewiring the neighboring network structure of interactions can evolve.
  • Singing birds as a complex adaptive system + HARKBird
    • We are interested in applying ALife and AI techniques for understanding acoustic interactions among birds.
    • Currently, we are focusing on temporal overlap avoidance behaviors among sympatric species by constructing agent-based evolutionary models. We also started to investigate real bird ecology by recording with microphone arrays and analyzing the records with HARK (a free software for robot audition) in Inabu experimental field of Nagoya Univ. and Amador county in California.