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Conference proceeding
Argument-Based Case Revision in CBR for Story Generation
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2015, v 9343, pp 290-305
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a new approach to case revision in case-based reasoning based on the idea of argumentation. Previous work on case reuse has proposed the use of operations such as case amalgamation (or merging), which generate solutions by combining information coming from different cases. Such approaches are often based on exploring the search space of possible combinations looking for a solution that maximizes a certain criteria. We show how Revise can be performed by arguments attacking specific parts of a case produced by Reuse, and how they can guide and prevent repeating pitfalls in future cases. The proposed approach is evaluated in the task of automatic story generation.
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Details
- Title
- Argument-Based Case Revision in CBR for Story Generation
- Creators
- Santiago Ontanon - Drexel UniversityEnric Plaza - Spanish Council for Scientific ResearchJichen Zhu - Drexel University
- Contributors
- E Hullermeier (Editor)M Minor (Editor)
- Publication Details
- CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2015, v 9343, pp 290-305
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 16
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Digital Media; Computer Science
- Web of Science ID
- WOS:000367594000020
- Scopus ID
- 2-s2.0-84951974448
- Other Identifier
- 991019167909404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications
- Robotics