Abstract
Evaluation processes are a basic component of creativity. They guide not only the pure judgement about a new artefact but also the generation itself, as creators constantly evaluate their own work. This paper proposes a model for automatic story generation based on the evaluation of stories. A model of how quality in stories is evaluated is presented, and two possible implementations of the generation guided by this evaluation are shown: exhaustive space exploration and constrained exploration. A theoretical model and its implementation are explained and validation of the evaluation function through comparison with human criteria is described.
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Notes
These templates define relationships between particular actions and the set of arguments that are valid for them, and thereby encode the semantic constraints that people associate with particular terms.
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Acknowledgments
This research is funded by the Ministerio de Investigación, Ciencia e Innovación (MILES: TIN2009-14659-C03, GALANTE: TIN2006-14433-C02-01), Universidad Complutense de Madrid and Dirección General de Universidades e Investigación de la Comunidad de Madrid (IVERNAO: CCG08-UCM/TIC-4300) and by the Creation and Consolidation of Research Groups Program by Banco Santader Central Hispano-Universidad Complutense.
Thanks to anonymous reviewers for invaluable comments which have improved this paper greatly and have given us many ideas for the further development of this work.
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León, C., Gervás, P. The Role of Evaluation-Driven Rejection in the Successful Exploration of a Conceptual Space of Stories. Minds & Machines 20, 615–634 (2010). https://doi.org/10.1007/s11023-010-9205-z
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DOI: https://doi.org/10.1007/s11023-010-9205-z