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Conversation system with state information


Glina, EM and Kang, BH, Conversation system with state information, Journal of Advanced Computational Intelligence, 14, (6) pp. 741-745. ISSN 1343-0130 (2010) [Refereed Article]

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Copyright (C) 2010 Fuji Technology Press Co,.

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DOI: doi:10.20965/jaciii.2010.p0741


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.

Item Details

Item Type:Refereed Article
Keywords:conversation systems, multiple classification ripple down rules, knowledge acquisition
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Adaptive Agents and Intelligent Robotics
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
UTAS Author:Glina, EM (Miss Elyse Glina)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:66938
Year Published:2010
Deposited By:Information and Communication Technology
Deposited On:2011-02-18
Last Modified:2015-02-13
Downloads:405 View Download Statistics

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