Abstract - lic thesis Karolina Eliasson


The Use of Case-Based Reasoning in a Human-Robot Dialog System

As long as there have been computers, one goal has been to be able
to communicate with them using natural language. It has turned out
to be very hard to implement a dialog system that performs as well
as a human being in an unrestricted domain, hence most dialog
systems today work in small, restricted domains where the permitted
dialog is fully controlled by the system.

In this thesis we present two dialog systems for communicating with
an autonomous agent:

The first system, the WITAS RDE, focuses on constructing a simple
and failsafe dialog system including a graphical user interface with
multimodality features, a dialog manager, a simulator, and
development infrastructures that provides the services that are
needed for the development, demonstration, and validation of the
dialog system. The system has been tested during an actual flight
connected to an unmanned aerial vehicle.

The second system, CEDERIC, is a successor of the dialog manager in
the WITAS RDE. It is equipped with a built-in machine learning
algorithm to be able to learn new phrases and dialogs over time
using past experiences, hence the dialog is not necessarily fully
controlled by the system. It also includes a discourse model to be
able to keep track of the dialog history and topics, to resolve
references and maintain subdialogs. CEDERIC has been evaluated
through simulation tests and user tests with good results.



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Last modified on May 2006 by Anne Moe