Generation of Ideologically-Biased Historical Documentaries
Abstract
documentary histories in response to audience feedback. The audience answers multiple-choice questions via an applause meter. The answers to these questions influence which historical events are chosen from a knowledge base, how these events will be slanted to embody the bias implied in the audience's answers, and how the events will be connected together to form a historical narrative. Terminal Time's architecture consists of a knowledge base and inference engine for querying the knowledge base, ideological goal trees and rhetorical devices which represent the current bias, a natural language generator to turn the constructed history into narrative prose, and an indexed multimedia database used to sequence video against the narration.
Cite
Text
Mateas et al. "Generation of Ideologically-Biased Historical Documentaries." AAAI Conference on Artificial Intelligence, 2000.Markdown
[Mateas et al. "Generation of Ideologically-Biased Historical Documentaries." AAAI Conference on Artificial Intelligence, 2000.](https://mlanthology.org/aaai/2000/mateas2000aaai-generation/)BibTeX
@inproceedings{mateas2000aaai-generation,
title = {{Generation of Ideologically-Biased Historical Documentaries}},
author = {Mateas, Michael and Vanouse, Paul and Domike, Steffi},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2000},
pages = {236-242},
url = {https://mlanthology.org/aaai/2000/mateas2000aaai-generation/}
}