A principled generalization of the maximum entropy principle for non-Shannon systems

Research Project

Project/Area Number	23K16855
Research Category	Grant-in-Aid for Early-Career Scientists
Allocation Type	Multi-year Fund
Review Section	Basic Section 60030:Statistical science-related
Research Institution	Araya Inc. (Research & Development Department)
Principal Investigator	モラレスパブロ株式会社アラヤ(研究開発部), 研究開発部, チーフリサーチャー (60903804)
Project Period (FY)	2023-04-01 – 2026-03-31
Project Status	Granted (Fiscal Year 2023)
Budget Amount *help	¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000) Fiscal Year 2025: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000) Fiscal Year 2024: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000) Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords	Information Theory / Complex Systems / Generalized Entropies
Outline of Research at the Start	The Maximum Entropy Principle (MEP) is effective for producing unbiased statistical models, yet its standard formulation leaves out many systems of interest. As these setups gain interest, a principled extension of the MEP is necessary. This project uses information-geometry to extend the MEP.