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Narrative Planning: Balancing Plot and Character
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.
An architecture for integrating plan-based behavior generation with interactive game environments
- R. Young, Mark O. Riedl, Mark Branly, A. Jhala, R. J. Martin, C. J. Saretto
- Computer ScienceJ. Game Dev.
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.
Managing interaction between users and agents in a multi-agent storytelling environment
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.
Event Representations for Automated Story Generation with Deep Neural Nets
- Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl
- Computer ScienceAAAI Conference on Artificial Intelligence
- 5 June 2017
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.
Dynamic Experience Management in Virtual Worlds for Entertainment , Education , and Training
The experience management framework has been used to develop an interactive version of Little Red Riding Hood and an interactive practice environment called IN-TALE for educating and training cognitive skills such as situation awareness, cultural awareness, leadership, and decisionmaking.
From linear story generation to branching story graphs
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.
Interactive Narrative: An Intelligent Systems Approach
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.
Automated rationale generation: a technique for explainable AI and its effects on human perceptions
- Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
- BiologyInternational Conference on Intelligent User…
- 11 January 2019
Alignment between the intended differences in features of the generated rationales and the perceived differences by users is found, and context permitting, participants preferred detailed rationales to form a stable mental model of the agent's behavior.
An intent-driven planner for multi-agent story generation
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.
Believable Agents and Intelligent Story Adaptation for Interactive Storytelling
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.