State-of-the-Art in Automated Story Generation Systems Research

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
R. A. Ansag, Avelino J. Gonzalez
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引用次数: 3

Abstract

ABSTRACT This paper presents a review of research works from the last several years in automated story generation systems. These systems are categorised into interactive story generation systems and non-Interactive story generation systems. Interactive systems are those that collaborate with a user/author during the process of creating and/or executing the story. The extent of user interaction varies across systems but remains an integral part of the creation and/or the unfolding of the story. Non-Interactive systems concentrate on complete automation of the creative process involved in narrative generation to create diverse and interesting stories. Interactive story generators specifically designed for video game narratives are reviewed as a separate sub-class of interactive story generation systems. Also reviewed are the methods used for evaluation of story generation systems as a way to explore the possibility of having standard methods of evaluation within the research community. The paper includes a discussion of trends and directions of the research discipline.
最新的自动化故事生成系统研究
本文综述了近年来在自动化故事生成系统方面的研究工作。这些系统分为交互式故事生成系统和非交互式故事生成系统。交互系统是那些在创建和/或执行故事的过程中与用户/作者协作的系统。用户交互的程度因系统而异,但仍然是故事创造和/或展开的组成部分。非互动系统专注于叙事生成过程的完全自动化,以创造多样化和有趣的故事。专门为电子游戏叙事设计的互动故事生成器被视为互动故事生成系统的一个独立子类。本文还回顾了用于评估故事生成系统的方法,以此来探索在研究界采用标准评估方法的可能性。文章还讨论了该学科的发展趋势和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
4.50%
发文量
89
审稿时长
>12 weeks
期刊介绍: Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving
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