An Intent-Driven Planner for Multi-Agent Story Generation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
ICIDS '08 Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
An intelligent system for semi-automatic story generation for kids using ontology
Proceedings of the Third Annual ACM Bangalore Conference
Applying planning to interactive storytelling: Narrative control using state constraints
ACM Transactions on Intelligent Systems and Technology (TIST)
Evolving stories: tree adjoining grammar guided genetic programming for complex plot generation
SEAL'10 Proceedings of the 8th international conference on Simulated evolution and learning
A fabula model for emergent narrative
TIDSE'06 Proceedings of the Third international conference on Technologies for Interactive Digital Storytelling and Entertainment
Efficient intent-based narrative generation using multiple planning agents
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. One way to generate narrative is to use planning. However, story planners are limited by the fact that they can only operate on the story world provided, which impacts the ability of the planner to find a solution story plan and the quality and structure of the story plan if one is found. We present a planning algorithm for story generation that can nondeterministically make decisions about the description of the initial story world state in a least-commitment fashion.