Health dataset on Kaggle, the Personal Key Indicators of Heart Disease, 2020 annual CDC survey data of 400k adults related to their health status.
Manuscript of SYSTEM INFORMATION DECOMPOSITION
A full paper has submited to Special Issue Causality and Complex Systems, Entropy. You can download the manuscipt PDF here.
Chinese translation of George Ellis paper (2011): Top-down causation and emergence: some comments on mechanisms
George Ellis’ paper is a significant milestone in the research on causation.Biography of George Ellis.
Health Data Analysis by Causal Discovery for Supporting Policy Formation and Municipal Problem-Solving
My presentation in a3foresight workshop-5. This presentation document is in the processing of arXiv.org. Also you can download the PDF here.
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling
I submitted the full paper follows the accepted Extended Abstract of HCII2023 Extended abstract of paper is accepted by HCII2023. This paper is published on arXiv.org. Also you can download the PDF here.
Report Poster of Autumn 2023: Health Data Analysis by Causal Discovery for Supporting Policy Formation and Municipal Problem-Solving
Report poster in NIS seminar of Autumn 2023. It is an ending sign of my first doctoral year. The full version applies as one representation in the a3foresight event in Korea on Feb 14-15.
Solve memory problem of Netlogo big model running
Mac OS X: The file for NetLogo will be located at:
/Applications/NetLogo 6.3.0/NetLogo 6.3.0.app/Contents/app/NetLogo 6.3.0.cfg
A research design in Minano-Machi project
The title is “Support for Policy Formation and Municipal Problem-Solving Based on Health Data Analysis Using Causal Discovery”, namely “因果探索を用いた健康データ分析に基づくヘルス課題解決と政策形成支援” in Japanese.
Causal Discovery Methods
Here summarize some major causal discovery methods, including their Python codes.
Multi-agent Reinforcement Learning Environment by Python and Netlogo in Ubuntu
It is done to control Netlogo from python on the Ubuntu system.
Netlogo is a helpful visual tool for multi-agent simulation.
However, it is challenging to analyze further the agent behaviors and action policies.
Python is a better choice to cover Netlogo. Furthermore,
it can easily construct a reinforcement learning mechanism for policy enhancement.
The point is to build an efficient shared environment for these two.
After many trials, I used Jpype and pyNetlogo in the latest Ubuntu system.
Ubuntu 22.04 on both client PC and remote server
Due to promoting research, I decided to build a home Ubuntu environment accessing the NIS remote GPU server, which runs on Ubuntu 22.04.
Incredible ChatGPT
ChatGPT is a recent hot topic in the AI industry worldwide. I tried it today, astonished.
Extended abstract of paper is accepted by HCII2023
According to today’s email, my paper has been accepted for publication in the Conference Proceedings and for presentation at the HCII 2023 Conference.
How to reset Ubuntu 22.04 root password
It is a helpful guide of How to reset Ubuntu 22.04 LTS root password. I tested it on the DELL mobile PC. Also, it includes the method of resetting the password for the user account.
Change Mouse Wheel Scrolling Direction in Windows7
Just do an easy way to change the mouse scrolling direction in a Windows system.
Fixed Lenovo P920 Nvidia driver installtion in Ubuntu 22.04
The recent Ubuntu 22.04 upgrade auto installation caused display problem in our GPU server, the Lenovo P920 workstation. After surveying, I found the best solution and solved the problem by a few command lines.
First visiting of Minano-machi, Saitama, Japan
Today is my first time visiting Minano-machi, the countryside of Saitama prefecture, with two hours of driving from Nihonbashi, Tokyo. One team has stayed here for more than three months for the local healthcare data preparation.
Multiagent simulation methods: pyNetlogo+Netlogo or mesa or VMAS
Based on a specific NetLogo program, I plan to develop it further with reinforcement learning, consisting of a preliminary survey for suitable methods of multiagent simulation in a Python 3.8+ environment. Meanwhile, my plan includes continuing to update the experiments of the candidate methods.
Q-learning and Bellman Equation
The fundamental reinforcement algorithm: Q learning and Bellman equation. Experiment on a simple Atari game: Frozen Lake.
Done of 4x4, 5x5 and 8x8 map(s).
Collective Action Application: Swarm Drones
A brief of the evolution of drone technology. Let’s see how collective action applications change our lives.