FLoReS: A Forward Looking, Reward Seeking, Dialogue Manager

Abstract

We present FLoReS, a new information-state-based dialogue manager, making use of forward inference, local dialogue structure, and plan operators representing subdialogue structure. The aim is to support both advanced, flexible, mixed initiative interaction and efficient policy creation by domain experts. The dialogue manager has been used for two characters in the SimCoach project and is currently being used in several related projects. We present the design of the dialogue manager and preliminary comparative evaluation with a previous system that uses a more conventional state chart dialogue manager.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
AD1170969

Entities

People

  • Angela Nazarian
  • David Devault
  • David R Traum
  • Fabrizio Morbini
  • Jillian Gerten
  • Kenji Sagae

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Biomedical Technology
  • Command And Control
  • Command And Control Systems
  • Computer Programming
  • Control Systems
  • Dialogue Systems
  • Language
  • Learning
  • Natural Languages
  • Personality
  • Reinforcement Learning
  • Simulations
  • Standards
  • Test And Evaluation
  • Training
  • Workshops

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Defense Acquisition Program Management

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy