Competence Guided Casebase Maintenance for Compositional Adaptation Applications

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• 关键词：Casebase maintenance ; Case competence ; Footprint based competence model ; Compositional adaptation
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9969
• 期：1
• 页码：265-280
• 全文大小：935 KB
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• 作者单位：Ditty Mathew (16)
  Sutanu Chakraborti (16)
  
  16. Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India
  
• 丛书名：Case-Based Reasoning Research and Development
• ISBN：978-3-319-47096-2
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9969

文摘

A competence guided casebase maintenance algorithm retains a case in the casebase if it is useful to solve many problems and ensures that the casebase is highly competent in the global sense. In this paper, we address the compositional adaptation process (of which single case adaptation is a special case) during casebase maintenance by proposing a case competence model for which we propose a measure called retention score to estimate the retention quality of a case. We also propose a revised algorithm based on the retention score to estimate the competent subset of the casebase. We used regression datasets to test the effectiveness of the competent subset obtained from the proposed model. We also applied this model in a tutoring application and analyzed the competent subset of concepts in tutoring resources. Empirical results show that the proposed model is effective and overcomes the limitation of footprint based competence model in compositional adaptation applications.