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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 26 / No. 1: Twenty-Sixth AAAI Conference on Artificial Intelligence

Lessons Learned From a Rational Reconstruction of Minstrel

March 8, 2023

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Authors

Brandon Tearse

University of California, Santa Cruz


Peter Mawhorter

University of California, Santa Cruz


Michael Mateas

University of California, Santa Cruz


Noah Wardrip-Fruin

University of California, Santa Cruz


DOI:

10.1609/aaai.v26i1.8160


Abstract:

Scott Turner's 1993 Minstrel system was a high water mark in story generation, harnessing the concept of imaginative recall to generate creative stories. Using case-based reasoning and an author level planning system, Minstrel models human creative processes. However, the algorithmic and representational commitments made in Minstrel were never subject to principled and quantitative analysis. By rationally reconstructing Minstrel, we are able to investigate Turner's computational model of creativity and learn new lessons about his architecture. We find that Minstrel's original performance was tied to a well-groomed case library, but by modifying several components of the algorithm we can create a more general version which can construct stories using a sparser and less structured case library. Through a rational reconstruction of Minstrel, we both learn new architectural and algorithmic lessons about Minstrel’s computational model of creativity as well as make his architecture available to the contemporary research community for further experimentation.

Topics: AAAI

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HOW TO CITE:

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin Lessons Learned From a Rational Reconstruction of Minstrel Proceedings of the AAAI Conference on Artificial Intelligence, 26 (2012) 249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin Lessons Learned From a Rational Reconstruction of Minstrel AAAI 2012, 249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin (2012). Lessons Learned From a Rational Reconstruction of Minstrel. Proceedings of the AAAI Conference on Artificial Intelligence, 26, 249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. Lessons Learned From a Rational Reconstruction of Minstrel. Proceedings of the AAAI Conference on Artificial Intelligence, 26 2012 p.249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. 2012. Lessons Learned From a Rational Reconstruction of Minstrel. "Proceedings of the AAAI Conference on Artificial Intelligence, 26". 249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. (2012) "Lessons Learned From a Rational Reconstruction of Minstrel", Proceedings of the AAAI Conference on Artificial Intelligence, 26, p.249

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin, "Lessons Learned From a Rational Reconstruction of Minstrel", AAAI, p.249, 2012.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. "Lessons Learned From a Rational Reconstruction of Minstrel". Proceedings of the AAAI Conference on Artificial Intelligence, 26, 2012, p.249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. "Lessons Learned From a Rational Reconstruction of Minstrel". Proceedings of the AAAI Conference on Artificial Intelligence, 26, (2012): 249.

Brandon Tearse|| Peter Mawhorter|| Michael Mateas|| Noah Wardrip-Fruin. Lessons Learned From a Rational Reconstruction of Minstrel. AAAI[Internet]. 2012[cited 2023]; 249.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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