TitleBuilding Common Ground and Interacting through Natural Language
Publication TypeConference Paper
Year of Publication2011
AuthorsMurugesan, A, Frost, W, Brock, DP, Perzanowski, D
Conference Name2011 AAAI Fall Symposium
Date Published2011
PublisherAssociation for the Advancement of Artificial Intelligence
Conference LocationWashington, DC
Abstract

Natural language interaction, like any other joint action, is a coordination problem involving agents who work together to convey and thus coordinate their interaction goals. Joint actions frequently fail, as agents act on their best guesses of what is intended by the other person. The ability of agents to correct each other, and recover from failures, makes it possible for joint actions to succeed even in highly error prone situations. In the modeling work presented here, a sequence of interrelated modules, originally developed in the Polyscheme cognitive architecture to understand simple commands to video application, is modified to implement error discovery and accommodate possible user-initiated repairs.

Refereed DesignationRefereed
Full Text
NRL Publication Release Number: 
11-1226-3954
pub_tags: 
DecisionMakingVisualization