Title

The Sam Algorithm For Analogy-Based Story Generation

Abstract

Analogy-based Story Generation (ASG) is a relatively under-explored approach for story generation and computational narrative. In this paper, we present the SAM (Story Analogies through Mapping) algorithm as our attempt to expand the scope and complexity of stories generated by ASG. Comparing with existing work and our prior work, there are two main contributions of SAM: it employs 1) analogical reasoning both at the specific story content and general domain knowledge levels, and 2) temporal reasoning about the story (phase) structure in order to generate more complex stories. We illustrate SAM through a few example stories. Copyright © 2011, Association for the Advancement of Artificial.

Publication Date

12-1-2011

Publication Title

Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011

Number of Pages

67-72

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84883077227 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84883077227

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