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Narrative Planning: Balancing Plot and Character
TLDR
A novel refinement search planning algorithm - the Intent-based Partial Order Causal Link (IPOCL) planner - is described that, in addition to creating causally sound plot progression, reasons about character intentionality by identifying possible character goals that explain their actions and creating plan structures that explain why those characters commit to their goals. Expand
An architecture for integrating plan-based behavior generation with interactive game environments
TLDR
This paper aims to provide a history of computer science at North Carolina State University from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which the institution was founded. Expand
Interactive Narrative: An Intelligent Systems Approach
TLDR
The landscape of about 20 years of interactive narrative research is laid out and the successes as well as open research questions pertaining to the novel use of computational narrative intelligence in the pursuit of entertainment, education, and training are explored. Expand
From linear story generation to branching story graphs
TLDR
A system that can generate stories can adapt narrative to the user's preferences and abilities, has expanded replay value, and can interact with users in ways that system designers didn't initially envision. Expand
Managing interaction between users and agents in a multi-agent storytelling environment
TLDR
The approach effectively integrates user action and system response into the unfolding narrative, providing for the balance between a users' sense of control within the story world and the user's sense of coherence of the overall narrative. Expand
Dynamic Experience Management in Virtual Worlds for Entertainment , Education , and Training
Modern computer systems have the ability to make the storytelling experience interactive by involving a participant or learner as a character in the narrative itself. We present a framework forExpand
Event Representations for Automated Story Generation with Deep Neural Nets
TLDR
The question of event representations that provide a mid-level of abstraction between words and sentences in order to retain the semantic information of the original data while minimizing event sparsity is explored. Expand
An intent-driven planner for multi-agent story generation
TLDR
This work presents a narrative generation planning system for multi-agent stories that is capable of generating narratives with both strong plot coherence and strong character believability. Expand
Story Generation with Crowdsourced Plot Graphs
TLDR
A large-scale evaluation shows that stories generated by the system for a previously unknown topic are comparable in quality to simple stories authored by untrained humans. Expand
Believable Agents and Intelligent Story Adaptation for Interactive Storytelling
TLDR
This work presents an interactive narrative system that uses a combination of narrative control and autonomous believable character agents to augment a story world simulation in which the user has a high degree of agency with narrative plot control. Expand
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