BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4042-4042.
Abstract
Typical narrative generation systems adopt a story-then-discourse pipeline approach in which fabula (i.e. story) is procedurally generated and provided as input for generating discourse and narration (e.g. text or animation). However, stories produced independently from a communicative plan are not guaranteed to have properties which are readily tellable or worth telling. This extended abstract describes an approach to narrative planning in which constraints for a story are discovered as part of the search for compatible story and discourse solutions.
@inproceedings{ijcai2016p595,
title = {BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract)},
author = {Winer, David R.},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4042--4042},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/595},
}
TY - CPAPER TI - BiPOCL: A Discourse-Driven Story Planner for Procedural Narrative Generation (Extended Abstract) AU - Winer, David R. T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4042 EP - 4042 UR - https://ijcai.org/proceedings/2016/595 ER -Copied
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