Mizuki Oka

About Mizuki Oka

Mizuki Oka, With an exceptional h-index of 13 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Tsukuba, specializes in the field of Data Science, Network Science, Artificial Life, Complex Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can Generative Agents Predict Emotion?

Simulating emergence of novelties using agent-based models

Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures

Agent-based model using adjacent possible space for generating waves of novelty

Toward automatic generation of diverse congestion control algorithms through co-evolution with simulation environments

Exploration and exploitation of the adjacent possible space for open-endedness

A Recommendation System for Cloud AI Services

Analysis and Design of Social Presence in a Computer-Mediated Communication System

Mizuki Oka Information

University

Position

Associate Professor of Computer Science

Citations(all)

630

Citations(since 2020)

233

Cited By

494

hIndex(all)

13

hIndex(since 2020)

9

i10Index(all)

16

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Mizuki Oka Skills & Research Interests

Data Science

Network Science

Artificial Life

Complex Systems

Top articles of Mizuki Oka

Title

Journal

Author(s)

Publication Date

Can Generative Agents Predict Emotion?

arXiv preprint arXiv:2402.04232

Ciaran Regan

Nanami Iwahashi

Shogo Tanaka

Mizuki Oka

2024/2/6

Simulating emergence of novelties using agent-based models

Plos one

Mikihiro Suda

Takumi Saito

Nanami Iwahashi

Ciaran Regan

Mizuki Oka

2023/12/11

Comparative studies of evolutionary methods and RL for learning behavior of virtual creatures

Takumi Saito

Haruki Nishimura

Mizuki Oka

2022/12/4

Agent-based model using adjacent possible space for generating waves of novelty

Mikihiro Suda

Takumi Saito

Mizuki Oka

2022/12/4

Toward automatic generation of diverse congestion control algorithms through co-evolution with simulation environments

Artificial Life Conference Proceedings 34

Teruto Endo

Hirotake Abe

Mizuki Oka

2022/7/18

Exploration and exploitation of the adjacent possible space for open-endedness

Artificial Life Conference Proceedings 34

Mikihiro Suda

Takumi Saito

Mizuki Oka

2022/7/18

A Recommendation System for Cloud AI Services

Transactions of the Japanese Society for Artificial Intelligence

Atsushi Hoshino

Takumi Saito

Mizuki Oka

2022/3

Analysis and Design of Social Presence in a Computer-Mediated Communication System

Frontiers in psychology

Hiroki Kojima

Dominique Chen

Mizuki Oka

Takashi Ikegami

2021/5/24

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

EPJ Data Science

Koya Sato

Mizuki Oka

Alain Barrat

Ciro Cattuto

2021/12/1

Evaluation of the effect of mimicry on facial expression in Avatar-Mediated Communication

Artificial Life Conference Proceedings 33

Mikihiro Suda

Mizuki Oka

2021/7/19

Exploration in evolutionary space by hashtag evolution on a social network service

Artificial Life Conference Proceedings 33

Hiroki Sato

Yasuhiro Hashimoto

Mizuki Oka

Takashi Ikegami

2021/7/19

Selection and accelerated divergence in hashtag evolution on a social network service

Hiroki Sato

Itsuki Doi

Yasuhiro Hashimoto

Mizuki Oka

Takashi Ikegami

2020/7/1

Web as an evolutionary ecosystem: Emergence of keystone species

Palin Choviwatana

Shota Ejima

Mizuki Oka

Takashi Ikegami

2020/7/1

Artificial life next generation perspectives: Echoes from the 2018 conference in tokyo

Olaf Witkowski

Takashi Ikegami

Nathaniel Virgo

Mizuki Oka

Hiroyuki Iizuka

2020/4/1

See List of Professors in Mizuki Oka University(University of Tsukuba)

Co-Authors

academic-engine