Minstrel Remixed: Procedurally Generating Stories


  • Brandon Tearse University of California at Santa Cruz
  • Noah Wardrip-Fruin University of California at Santa Cruz
  • Michael Mateas University of California at Santa Cruz




Story Generation, Case Based Reasoning


We are recreating, investigating, and defining new uses for one of the most influential artificial intelligence projects of the past 25 years: Scott Turner’s Minstrel, which is regarded as a landmark in both the story generation and computational creativity communities. We compare our new system, Minstrel Remixed, with the implementation of the original, and discuss the various additions made during our rational reconstruction which facilitate investigations into the inner workings of the system. In conclusion, we evaluate the performance of Minstrel Remixed and determine that its results are quite close to those of the original.




How to Cite

Tearse, B., Wardrip-Fruin, N., & Mateas, M. (2010). Minstrel Remixed: Procedurally Generating Stories. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 6(1), 192-197. https://doi.org/10.1609/aiide.v6i1.12419