Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming

Azad, Sasha (Disney Research) | Xu, Jingyang (Decision Science, Walt Disney Parks and Resorts) | Yu, Haining (Decision Science, Walt Disney Parks and Resorts) | Li, Boyang (Disney Research )

AAAI Conferences 

A live interactive narrative (LIN) is an experience where multiple players take on fictional roles and interact with real-world objects and actors to participate in a pre-authored narrative. Temporal properties of LINs are important to its viability and aesthetic quality and hence deserve special design consideration. In this paper, we tackle the largely overlooked problem of scheduling a multiplayer interactive narrative and propose the Live Interactive Narrative Scheduling Problem (LINSP), which handles reasoning under temporal uncertainty, resource scheduling, and non-linear plot choices. We present a mixed-integer linear programming formulation of the problem and empirically evaluates its scalability over large narrative instances.

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