Grounding Natural Language References to Unvisited and Hypothetical Locations

Thomas Emrys Williams, Rehj Cantrell, Gordon Briggs, Paul W. Schermerhorn, Matthias Scheutz

Abstract: While much research exists on resolving spatial natural language. to known locations, little work deals with handling references to unknown locations. In this paper we introduce and evaluate algorithms integrated into a cognitive architecture which allow an agent to learn about its environment while resolving references to both known and unknown locations. We also describe how multiple components in the architecture jointly facilitate these capabilities.