DocumentCode :
2323968
Title :
Evolving stories: Grammar evolution for automatic plot generation
Author :
Bui, Vinh ; Abbbass, Hussein ; Bender, Axel
Author_Institution :
Univ. of New South Wales at ADFA, Canberra, NSW, Australia
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, we propose a computational framework for automated story-based scenario generation. Under this framework, a regular grammar is developed to model various causal relationships inside a given story world. The grammar is then evolved using evolutionary computation techniques to generate novel story plots, i.e. story-based scenarios. To evaluate these newly generated scenarios, a human-in-the-loop model is used. An experimental study was carried out, in which the proposed framework was used to create novel plots based on the famous Little Red Riding Hood fairy tale. The experimental study demonstrated that evolutionary computation can potentially contribute significantly to story generations. Some challenges were identified including the difficulty to quantify such subjective measures as plot interestingness and creativity.
Keywords :
evolutionary computation; grammars; humanities; Little Red Riding Hood fairy tale; automated story-based scenario generation; automatic plot generation; computational framework; evolutionary computation; evolving stories; grammar evolution; human-in-the-loop model; regular grammar; Cognition; Coherence; Computational modeling; Evolutionary computation; Grammar; Production; Semantics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
Type :
conf
DOI :
10.1109/CEC.2010.5585934
Filename :
5585934
Link To Document :
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