Stories from the bottom up: emergent narratives with composable story sifting patterns

Abstract

Emergent Narratives (EN) are a popular approach in game design where stories naturally emerge from players' interactions with the game world. Story sifting is an EN technique where the player’s attention is drawn to particularly interesting narrative patterns, but these story sifting patterns can be complex and difficult to create. To address this, we have developed an event-based rules system that supports composable patterns: building blocks that allow higher-level stories to be constructed from lower level ones. We demonstrate our approach through a simulation (of an alien invasion scenario) alongside a powerful incremental story sifter that curates compound events. We conduct agent ratio and stability testing to demonstrate the system's robustness, and a complexity test to show how the performance of the sifter scales with agent numbers and map size. Our findings show that the system remains stable throughout. Our work demonstrates that an event-based rules approach can effectively support composite patterns, ultimately enabling the curation of more complex EN stories.

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Identifiers

ORCID for David Millard: orcid.org/0000-0002-7512-2710

ORCID for Nicholas Gibbins: orcid.org/0000-0002-6140-9956

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