Abstract
A major limitation of today's computer games is the shallowness of interactions with non-player characters. To build up relationships with players, NPCs should be able to remember shared experiences, including conversations, and shape their responses accordingly. We believe that progress in AI has already reached the point where research on using NLP and large KBs in games could lead to important new capabilities. We describe our Listener Architecture for conversational games, which has been implemented in a toolkit used to make short experimental games. Episodic memory plays a central role, using analogical reasoning over a library of previous conversations with the player. Examples and scale-up issues are discussed.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.