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Conversation system with state information


Glina, EM and Kang, BH, Conversation system with state information, AISAT 2009 The 3rd International Workshop on Artificial Intelligence in Science and Technology , 23-24 November 2009, Hobart Tasmania, pp. 1-5. ISBN 978-1-86295-550-9 (2009) [Refereed Conference Paper]

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Copyright 2009, The University of Tasmania.

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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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Artificial intelligence not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Glina, EM (Miss Elyse Glina)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:62119
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-03-10
Last Modified:2015-03-25

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