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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2007 - 200912010 - 20141
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Author: Gervás Gómez-Navarro, Pablo × Item Type: Publication ×

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Now showing 1 - 2 of 2
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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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    Mixed narrative and dialog content planning based on BDI agents
    (2007) León Aznar, Carlos; Hassan Collado, Samer; Gervás Gómez-Navarro, Pablo; Pavón Mestras, Juan
    There exist various narrative systems, focused on different parts of the complex process of story generation. Some of them are oriented to content planning, and some to sentence planning, with different properties and characteristics. In this paper we propose a system based on BDI agents that generates stories (creating content, performing content planning and simple sentence planning) with narrative parts and dialogs. The content for the story is generated in a multiagent social simulation system, and the content planning is based on rules and a state space search algorithm based on the system representation of the reader’s perception of the story.