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