Person:
León Aznar, Carlos

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First Name
Carlos
Last Name
León Aznar
URI
https://hdl.handle.net/20.500.14352/78732
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Informática
Department
Ingeniería del Software e Inteligencia Artificial
Area
Lenguajes y Sistemas Informáticos
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2014 - 20152
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    The Need for Multi-Aspectual Representation of Narratives in Modelling their Creative Process
    (OpenAccess Series in Informatics, 2014) Gervás Gómez-Navarro, Pablo; León Aznar, Carlos
    Existing approaches to narrative construction tend to apply basic engineering principles of system design which rely on identifying the most relevant feature of the domain for the problem at hand, and postulating an initial representation of the problem space organised around such a principal feature. Some features that have been favoured in the past include: causality, linear discourse, underlying structure, and character behavior. The present paper defends the need for simultaneous consideration of as many as possible of these aspects when attempting to model the process of creating narratives, together with some mechanism for distributing the weight of the decision processes across them. Humans faced with narrative construction may shift from views based on characters to views based on structure, then consider causality, and later also take into account the shape of discourse. This behavior can be related to the process of representational re-description of constraints as described in existing literature on cognitive models of the writing task. The paper discusses how existing computational models of narrative construction address this phenome
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    When Reflective Feedback Triggers Goal Revision: a computational Model for Literary Creativity∗
    (CEUR Workshop Proceedings, 2015) Gervás Gómez-Navarro, Pablo; León Aznar, Carlos
    Existing models of the writing task from a cognitive viewpoint agree on the importance of draft revision in the overall process. This is generally assumed to focus on reviewing intermediate drafts in search for feedback on how to modify them to match the driving constraints. However, in literary creativity it is often the case that the feedback leads not to a revision of the current draft but to a redefinition of the constraints that are driving the process. This phenomenon is explicitly described in Sharples’ model of writing as a creative task. Yet existing computational models of literary creativity do not contemplate it. The present paper describes a computational model of the creative processes in literary creativity that contemplates the explicit representation of the constraints driving the process, and allows for the feedback from the validation to modify not just the ongoing draft but also the constraints that it is expected to satisfy. This allows the model to represent cases of serendipitous discovery of interesting features.