Opponent Models with Uncertainty for Strategic Argumentation

Tjitze Rienstra, Matthias Thimm, Nir Oren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)
Original languageEnglish
Title of host publicationProceedings of the Twenty-Third International Joint Conference on Artificial Intelligence
Subtitle of host publicationBeijing, China, 3–9 August 2013
EditorsFrancesca Rossi
Place of PublicationMenlo Park, California
PublisherAAAI Press / International Joint Conferences on Artificial Intelligence
Pages332-338
ISBN (Print)9781577356332
Publication statusPublished - 2013
EventIJCAI-13 - Beijing, China
Duration: 3 Aug 20139 Aug 2013

Conference

ConferenceIJCAI-13
CountryChina
CityBeijing
Period3/08/139/08/13

Cite this

Rienstra, T., Thimm, M., & Oren, N. (2013). Opponent Models with Uncertainty for Strategic Argumentation. In F. Rossi (Ed.), Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence: Beijing, China, 3–9 August 2013 (pp. 332-338). Menlo Park, California: AAAI Press / International Joint Conferences on Artificial Intelligence.

Opponent Models with Uncertainty for Strategic Argumentation. / Rienstra, Tjitze; Thimm, Matthias; Oren, Nir.

Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence: Beijing, China, 3–9 August 2013. ed. / Francesca Rossi. Menlo Park, California : AAAI Press / International Joint Conferences on Artificial Intelligence, 2013. p. 332-338.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rienstra, T, Thimm, M & Oren, N 2013, Opponent Models with Uncertainty for Strategic Argumentation. in F Rossi (ed.), Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence: Beijing, China, 3–9 August 2013. AAAI Press / International Joint Conferences on Artificial Intelligence, Menlo Park, California, pp. 332-338, IJCAI-13, Beijing, China, 3/08/13.
Rienstra T, Thimm M, Oren N. Opponent Models with Uncertainty for Strategic Argumentation. In Rossi F, editor, Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence: Beijing, China, 3–9 August 2013. Menlo Park, California: AAAI Press / International Joint Conferences on Artificial Intelligence. 2013. p. 332-338
Rienstra, Tjitze ; Thimm, Matthias ; Oren, Nir. / Opponent Models with Uncertainty for Strategic Argumentation. Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence: Beijing, China, 3–9 August 2013. editor / Francesca Rossi. Menlo Park, California : AAAI Press / International Joint Conferences on Artificial Intelligence, 2013. pp. 332-338
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