2020 Fiscal Year Final Research Report
Integrating symbolic-based AI and pattern-based AI using psychological findings
Project/Area Number |
19K22884
|
Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
|
Allocation Type | Multi-year Fund |
Review Section |
Medium-sized Section 61:Human informatics and related fields
|
Research Institution | National Institute of Informatics |
Principal Investigator |
Ichise Ryutaro 国立情報学研究所, 情報学プリンシプル研究系, 准教授 (00332156)
|
Project Period (FY) |
2019-06-28 – 2021-03-31
|
Keywords | 人工知能 / 機械学習 / 記号処理 / パターン処理 |
Outline of Final Research Achievements |
There are two representative approaches to Artificial Intelligence: symbolic-based approach and pattern-based approach. The purpose of this research is to elucidate a method to integrate symbolic-based AI and pattern-based AI. For this purpose, we investigated the characteristics of the two approaches and developed a technique to integrate them.
|
Free Research Field |
知能情報学
|
Academic Significance and Societal Importance of the Research Achievements |
人工知能の世界においては,人工知能が使う原理に関して,長年,パターンか記号かの論争が続いている.本研究では,それぞれの長所を統合する挑戦的な課題を設定した.学術的には,人工知能のアプローチを根本から見直す意義がある.また,社会的には,2つのアプローチを統合することで,意思決定の透明化がなされ,安心して人工知能技術の導入を進められるようになる意義がある.
|