| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2027年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2026年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
2025年度: 1,560千円 (直接経費: 1,200千円、間接経費: 360千円)
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| 研究開始時の研究の概要 |
This research project aims to create a new architecture for classification learning models based on principles from Belief Change Theory. It addresses the limitations of current AI models, which often operate as black boxes with no transparent decision-making process. The project includes establishing formal parallels between Belief Change Theory and classifier learning, adapting rational principles, designing specific algorithms, and empirically comparing the new models with existing methods. The goal is a principled, transparent, and reliable learning model architecture.
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