Search Results for author: Chris Martens

Found 5 papers, 1 papers with code

Towards Action Model Learning for Player Modeling

1 code implementation9 Mar 2021 Abhijeet Krishnan, Aaron Williams, Chris Martens

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.

A Resourceful Reframing of Behavior Trees

no code implementations24 Mar 2018 Chris Martens, Eric Butler, Joseph C. Osborn

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.

"How Was Your Weekend?" A Generative Model of Phatic Conversation

no code implementations13 Feb 2018 Hannah Morrison, Chris Martens

Unspoken social rules, such as those that govern choosing a proper discussion topic and when to change discussion topics, guide conversational behaviors.

A Generative Model of Group Conversation

no code implementations21 Jun 2017 Hannah Morrison, Chris Martens

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.

Deriving Quests from Open World Mechanics

no code implementations30 Apr 2017 Ryan Alexander, Chris Martens

Open world games present players with more freedom than games with linear progression structures.

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