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    Argument-Based Case Revision in CBR for Story Generation

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    This paper presents a new approach to case revision in casebased 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. © Springer International Publishing Switzerland 2015.This research was partially supported by projects CoInvent (FET-Open grant 611553) and NASAID (CSIC Intramural 201550E02Peer Reviewe
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