The TRAINS Project: A Case Study in Defining a Conversational Planning Agent

  • Authors:
  • James F. Allen;Lenhart K. Schubert;George Ferguson;Peter Heeman;Chung H Hwang;Tsuneaki Kato;Marc Light;Nathaniel G. Martin;Bradford W. Miller;Massimo Poesio;David R. Traum

  • Affiliations:
  • -;-;-;-;-;-;-;-;-;-;-

  • Venue:
  • The TRAINS Project: A Case Study in Defining a Conversational Planning Agent
  • Year:
  • 1994

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Abstract

The TRAINS project is an effort to build a conversationally proficient planning assistant. A key part of the project is the construction of the TRAINS system, which provides the research platform for a wide range of issues in natural language understanding, mixed-initiative planning systems, and representing and reasoning about time, actions and events. Four years have now passed since the beginning of the project. Each year we have produced a demonstration system that focused on a dialog that illustrates particular aspects of our research. The commitment to building complete integrated systems is a significant overhead on the research, but we feel it is essential to guarantee that the results constitute real progress in the field. This paper describes the goals of the project, and our experience with the effort so far. .pp This paper is to appear in the Journal of Experimental and Theoretical AI, 1995.