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Found 7 papers, 1 papers with code
Deriving Quests from Open World Mechanics
Open world games present players with more freedom than games with linear progression structures.
A Generative Model of Group Conversation
To create richer, more believable environments for players, we need conversational behavior to reflect initiative on the part of the NPCs, including conversations that include multiple NPCs who interact with one another as well as the player.
"How Was Your Weekend?" A Generative Model of Phatic Conversation
Unspoken social rules, such as those that govern choosing a proper discussion topic and when to change discussion topics, guide conversational behaviors.
A Resourceful Reframing of Behavior Trees
Designers of autonomous agents, whether in physical or virtual environments, need to express nondeterminisim, failure, and parallelism in behaviors, as well as accounting for synchronous coordination between agents.
Towards Action Model Learning for Player Modeling
In this paper, we present our findings with using action model learning (AML), in which an action model is learned given data in the form of a play trace, to learn a player model in a domain-agnostic manner.
Exploring Consequences of Privacy Policies with Narrative Generation via Answer Set Programming
Informed consent has become increasingly salient for data privacy and its regulation.
Unmet Creativity Support Needs in Computationally Supported Creative Writing
Large language models (LLMs) enabled by the datasets and computing power of the last decade have recently gained popularity for their capacity to generate plausible natural language text from human-provided prompts.
