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Narrative Intelligence from the Bottom Up: a Computational Framework for the Study of Story-Telling in Autonomous Agents

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  • Kerstin Dautenhahn

    ()

  • Steve Coles

    ()

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    Abstract

    This paper addresses Narrative Intelligence from a bottom up, Artificial Life perspective. First, different levels of narrative intelligence are discussed in the context of human and robotic story-tellers. Then, we introduce a computational framework which is based on minimal definitions of stories, story-telling and autobiographic agents. An experimental test-bed is described which is applied to the study of story-telling, using robotic agents as examples of situated, autonomous minimal agents. Experimental data are provided which support the working hypothesis that story-telling can be advantageous, i.e. increases the survival of an autonomous, autobiographic, minimal agent. We conclude this paper by discussing implications of this approach for story-telling in humans and artifacts.

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    File URL: http://jasss.soc.surrey.ac.uk/4/1/1.html
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 4 (2001)
    Issue (Month): 1 ()
    Pages: 1

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    Handle: RePEc:jas:jasssj:2000-9-1

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    Keywords: Autobiographic Agents; Narrative Intelligence; Autonomous Robots;

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