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Conversation system with state information

conference contribution
posted on 2023-05-23, 04:47 authored by Glina, EM, Byeong KangByeong Kang
Most current approaches to conversation system development invoke a complex set of language parsing rules or development tools difficult for the uninitiated to handle and unable to achieve the appearance of actual involvement in the conversation at hand or topic awareness. This study proposes an alternate approach based on the Ripple Down Rules algorithm, presently used to enable more effective maintenance of expert systems. By utilising this tree- based algorithm, a conversation system will be given the ability to travel incrementally deeper into a particular topic, then to switch based on incompletely entered information to another previously discussed topic. In this way a highly reusable and novel method of developing conversation systems on a variety of topics can be produced.

History

Publication title

AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology

Editors

Negnevitsky, M

Pagination

1-5

ISBN

978-1-86295-550-9

Department/School

School of Information and Communication Technology

Publisher

University of Tasmania

Place of publication

Hobart, Tasmania

Event title

AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology

Event Venue

Hobart Tasmania

Date of Event (Start Date)

2009-11-23

Date of Event (End Date)

2009-11-24

Rights statement

Copyright © 2009, The University of Tasmania.

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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