My research interests extend to other areas, including:
1. Self-Organizing Morphogenesis Models
I am developing a computational model to simulate the self-organizing processes that underlie pattern formation in biological systems.
(1) I constructed a morphogenesis model that integrates the Turing pattern and the majority rule model.
This model can reproduce various patterns that cannot be expressed by the Turing pattern model alone.
Figure 1: Comparison of the integrated model’s computational results with the actual patterns of the fish. (Source: https://doi.org/10.3390/biophysica4020020)
[1] Takeshi Ishida, Emergence of Diverse Epidermal Patterns via the Integration of the Turing Pattern Model with the Majority Voting Model, Biophysica 2024, 4(2), 283-297; https://doi.org/10.3390/biophysica4020020
(2) By applying the Turing pattern model, we were able to successfully reproduce the body patterns of many pufferfish species.
[2] Takeshi Ishida, Hiroki Tadokoro, Hiroshi Takahashi, Hiroyuki Yoshikawa, and Harumi Sakai, Constructing models to reproduce the skin color patterns of Takifugu species, including hybrids, Journal of Fisheries Engineering, 56(1) pp.15-26(2019.7) https://doi.org/10.18903/fisheng.56.1_15
2. Research on Intelligence Emergence Models
Octopuses Mimicry models ; I demonstrated that both convolutional neural networks and Turing pattern emergent cellular automata models can be unified as filter convolution operations. I then constructed a model that recognizes the surrounding scenery, extracts parameters, and reproduces the pattern on the skin. This model requires a minimal amount of computation and can aggregate the pattern of the surrounding scenery into two parameters. This finding suggests a novel approach to artificial intelligence modeling.
[3] Takeshi Ishida, A model of octopus epidermis pattern mimicry mechanisms using inverse operation of the Turing reaction model, Plos One, 16, 8, e0256025, 2021
https://doi.org/10.1371/journal.pone.0256025
3. Machine Ethics
I am exploring the ethical implications of artificial intelligence and machine learning, with a focus on developing responsible and socially beneficial applications.