Conversation System With State Information.pdf (142.67 kB)
Conversation system with state information
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 IntelligenceVolume
14Issue
6Pagination
741-745ISSN
1343-0130Department/School
School of Information and Communication TechnologyPublisher
Fuji Technology PressPlace of publication
JapanRights statement
Copyright (C) 2010 Fuji Technology Press Co,.Repository Status
- Open