Knowledge Representation in the TRAINS System

M. Poesio, G. Ferguson, P. Heeman,C. H. Hwang,D. R. Traum

The long term goal of the TRAINS project is to develop an intelligent planning assistant that is conversationally proficient in natural language. The TRAINS system helps a user construct and monitor plans about a railroad freight system; their interaction takes place in natural language. The representational needs of a system like TRAINS include representing lexical meaning, dealing with the problem of ambiguity, make use of information about context, and finding a connection between the content of the current utterance and the plan being jointly developed by system and user. The goal of the paper is to describe how TRAINS-93, the latest prototype of TRAINS, deals with these issues.


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