Scrutable plan enactment via argumentation and natural lanquaqe generation

Martin Caminada, Roman Kutlak, Nir Oren, Wamberto W. Vasconcelos

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

18 Citations (Scopus)

Abstract

Autonomous systems suffer from opacity due to the potentially large number of sophisticated interactions among many parties and how these influence the outcomes of the systems. It is very difficult for humans to scrutinise, understand and, ultimately, work with such systems. To address this shortcoming, we developed a demonstrator which uses formal argumentation techniques, coupled with natural language generation, to explain the rationale of a hybrid software-human many-party joint plan during its enactment.
Original languageEnglish
Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems
Subtitle of host publicationAAMAS 2014
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1625-1626
Number of pages2
Volume2
ISBN (Electronic)978-1-4503-2738-1
ISBN (Print)9781634391313
Publication statusPublished - 2014
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: 5 May 20149 May 2014

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
CountryFrance
CityParis
Period5/05/149/05/14

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Caminada, M., Kutlak, R., Oren, N., & Vasconcelos, W. W. (2014). Scrutable plan enactment via argumentation and natural lanquaqe generation. In 13th International Conference on Autonomous Agents and Multiagent Systems: AAMAS 2014 (Vol. 2, pp. 1625-1626). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). http://dl.acm.org/citation.cfm?id=2615731.2616095