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

Kerstin Dautenhahn () and Steve Coles ()
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Kerstin Dautenhahn: http://homepages.feis.herts.ac.uk/~comqkd/

Journal of Artificial Societies and Social Simulation, 2001, vol. 4, issue 1, 1

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.

Keywords: Autobiographic Agents; Narrative Intelligence; Autonomous Robots (search for similar items in EconPapers)
Date: 2001-01-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2000-9-1

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