In this paper, we explore the use of Linear Logic programming for story generation. We use the language Celf to represent narrative knowledge, and its own querying mechanism to generate story instances, through a number of proof terms. Each proof term obtained is used, through a resource-flow analysis, to build a directed graph where nodes are narrative actions and edges represent inferred causality relationships. Such graphs represent narrative plots structured by narrative causality. This approach is a candidate technique for narrative generation which unifies declarative representations and generation via query and deduction mechanisms.
|Journal||Lecture Notes in Artificial Intelligence|
|Publication status||Published - 2013|
|Event||12th International Conference - Logic Programming and Nonmonotonic Reasoning - Corunna, Spain|
Duration: 15 Sep 2013 → 19 Sep 2013
Conference number: 12