CONVERSATIONAL AGENT IN ARGUMENTATION - Updating of Information States

Mare Koit

2011

Abstract

The paper describes a computational model that we are implementing in an experimental dialogue system. Conversation process is modelled where one participant is trying to influence his/her partner to agree to do an action. In the paper we concentrate on the representation of information states of the conversational agent and update rules which allow moving from one information state into another. Information state includes a partner model which consists of evaluations of different aspects of the action under consideration. The partner model is changing, based on the arguments and counter-arguments presented during the interaction. As a practical realization of the model we have in view a computer program which we call communication trainer.

References

  1. Allen, J., 1994. Natural Language Understanding. Second Edition. The Benjamins/Cummings Publ. Co. Redwood City etc., 678 p.
  2. Jurafsky, D., Martin, J., 2008. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall, 1028 p.
  3. Koit, M., Õim, H., 2004. Argumentation in the Agreement Negotiation Process: A Model that Involves Natural Reasoning. In Proc. of the Workshop W12 on Computational Models of Natural Argument. 16th European Conference on Artificial Intelligence. Valencia, Spain, 53-56.
  4. Koit, M., Roosmaa, T., Õim, H., 2009. Knowledge representation for human-machine interaction. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development: International Conference on Knowledge Engineering and Ontology Development, Madeira (Portugal), 6-8 October 2009. Jan L.G. Dietz (Ed.), Portugal: INSTICC, 396-399.
  5. Traum, D., Larsson, S., 2003. The Information State Approach to Dialogue Management. In Current and New Directions in Discourse and Dialogue, J. van Kuppevelt and R. Smith (Eds.), Kluwer, 325-353.
  6. Wilks, Y., Webb, N., Setzer, A., Hepp, M., Catizone, R., 2005. Machine learning approaches to human dialogue modelling. In Text, Speech and Language Technology. Advances in Natural Multimodal Dialogue Systems, Vol. 30. Springer, 355-370.
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Paper Citation


in Harvard Style

Koit M. (2011). CONVERSATIONAL AGENT IN ARGUMENTATION - Updating of Information States . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 375-378. DOI: 10.5220/0003636503750378


in Bibtex Style

@conference{keod11,
author={Mare Koit},
title={CONVERSATIONAL AGENT IN ARGUMENTATION - Updating of Information States},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={375-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003636503750378},
isbn={978-989-8425-80-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - CONVERSATIONAL AGENT IN ARGUMENTATION - Updating of Information States
SN - 978-989-8425-80-5
AU - Koit M.
PY - 2011
SP - 375
EP - 378
DO - 10.5220/0003636503750378