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Conversation system with state information

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journal contribution
posted on 2023-05-17, 04:31 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 novices to handle and are unable to convincingly simulate advanced natural language features such as topic awareness or conversation thread involvement. This study proposes an alternate approach based on the ripple down rules (RDR) algorithm, presently used to enable more effective maintenance of expert systems. This tree-based algorithm enables a conversation system to travel incrementally deeper into a particular topic, then to switch based on context-dependent information to the correct previously discussed topic � resulting in a highly reusable method of developing conversation systems based around a variety of topics.

History

Publication title

Journal of Advanced Computational Intelligence

Volume

14

Issue

6

Pagination

741-745

ISSN

1343-0130

Department/School

School of Information and Communication Technology

Publisher

Fuji Technology Press

Place of publication

Japan

Rights statement

Copyright (C) 2010 Fuji Technology Press Co,.

Repository Status

  • Open

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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