| Project/Area Number |
20500760
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Science education
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| Research Institution | Ishinomaki Senshu University |
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Principal Investigator |
MARUOKA Akira Ishinomaki Senshu University, 理工学部, 教授 (50005427)
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| Co-Investigator(Kenkyū-buntansha) |
KAWASHIMA Ryuta 東北大学, 加齢医学研究所, 教授 (90250828)
MURAMOTO Toshiaki 東北大学, 大学院・情報科学研究科, 准教授 (80212257)
TAKIMOTO Eiji 九州大学, 大学院・システム情報科学研究院, 教授 (50236395)
AMANO Kazuyuki 群馬大学, 大学院・工学研究科, 准教授 (30282031)
HARAGUCHI Kazuya 石巻専修大学, 理工学部, 助教 (80453356)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 自然科学教育(数学、情報) / 計算学習理論 / 脳科学 / 認知心理学 / 計算理論 / 情報系教科 / カードゲーム / 学習曲線 / 論理回路 |
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| Research Abstract |
Among results we obtained in this project there exists a framework that yields instances of certain combinatorial puzzles. To explore such a framework, we focus on certain types of puzzles that ask an assignment of numbers to cells of nxn grids so that it satisfies certain constraints as well as the Latin square condition, that is, each row and column contains all of the numbers in {1, 2,…,n} Our algorithm based on the framework yields automatically puzzle instances whose difficulties to solve can be adjusted by means of puzzle inference rules built into the algorithm. We performed experiments to demonstrate that, as is expected, human solvers tend to solve puzzle instances correctly that are produced with easy inference rules, whereas they tend to fail to solve those produced with sophisticated rules.
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