Narrative Intelligence from the Bottom Up: A Computational Framework for the Study of Story-Telling in Autonomous Agents
Year: 2001
Type: article
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 storytelling, using robotic agents as examples of situated, autonomous minimal agents.Experimental data is 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.
Authors: Kerstin Dautenhahn, Steven Coles
Institution: University of Hertfordshire
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1536752130