Story Generation After TALE-SPIN

Dehn, Natlie

Story Generation After TALE-SPIN

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Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Natural Language. Pages 16-17.

Abstract

TALE-SPIN, the last major AI attempt at story generation, approached the problem of making up stories primarily from the perspective of an impartial world simulator. Alll1IQl is a program (under development) which generates stories as a creative reasoner in pursuit of her own narrative goals. It is thus intended to simulate an author·s mind as she makes up a story, rather than the world as things happen in it. The four major forces driving the story generation process, according to the AUTHOR model, are (1) author intentionality, (2) conceptual reformulation, (3) reminding, and (4) the opportunity enhancement metagoal.

Natlie Dehn. 1981. Story Generation After TALE-SPIN. In Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81. IJCAI, 16–17. https://ijcai.org/proceedings/1981/4

@inproceedings{ijcai1981p4,
  title     = {Story Generation After TALE-SPIN},
  author    = {Dehn, Natlie},
  booktitle = {Proceedings of the Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI-81}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Roger C. Schank},
  pages     = {16--17},
  year      = {1981},
  month     = {8},
  note      = {Natural Language},
  url       = {https://ijcai.org/proceedings/1981/4},
}

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PB  - International Joint Conferences on Artificial Intelligence
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