The role of emotion in believable agents
Communications of the ACM
Artificial Intelligence
The metanovel: writing stories by computer.
The metanovel: writing stories by computer.
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
Exploring the Scalability of Character-Based Storytelling
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Interactive drama, art and artificial intelligence
Interactive drama, art and artificial intelligence
Narrative generation: balancing plot and character
Narrative generation: balancing plot and character
Comparing cognitive and computational models of narrative structure
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Toward intelligent support of authoring machinima media content: story and visualization
Proceedings of the 2nd international conference on INtelligent TEchnologies for interactive enterTAINment
Say Anything: A Massively Collaborative Open Domain Story Writing Companion
ICIDS '08 Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
Being there: participants and spectators in interactive narrative
ICVS'07 Proceedings of the 4th international conference on Virtual storytelling: using virtual reality technologies for storytelling
Narrative planning: balancing plot and character
Journal of Artificial Intelligence Research
Representing and using character feature rules in automatic story generation
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Exploring passive user interaction for adaptive narratives
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Research in interactive drama environments, role-play and story-telling
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
Improving game bot behaviours through timed emotional intelligence
Knowledge-Based Systems
NetworkING: using character relationships for interactive narrative generation
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Modelling basic needs as agent motivations
International Journal of Computational Intelligence Studies
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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 of the focuses of intelligent virtual agent research in general and story generation research in particular is how to make agents/characters more lifelike and compelling. However, one question that invariably comes up is: Is the generated story good? An easier question to tackle is whether a reader/viewer of a generated story perceives certain essential attributes such as causal coherence and character believability. Character believability is the perception that story world characters are acting according to their own beliefs, desires, and intentions. We present a novel procedure for objectively evaluating stories generated for multiple agents/characters with regard to character intentionality - an important aspect of character believability. The process transforms generated stories into a standardized model of story comprehension and then indirectly compares that representation to reader/viewer mental perceptions about the story. The procedure is illustrated by evaluating a narrative planning system, Fabulist.