Scrutable plan enactment via argumentation and natural language generation

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 publicationProceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Pages1625-1626
Number of pages2
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

Fingerprint

Opacity

Keywords

  • argumentation
  • natural language generation
  • planning
  • explanations
  • demo
  • demonstration

Cite this

Caminada, M., Kutlak, R., Oren, N., & Vasconcelos, W. W. (2014). Scrutable plan enactment via argumentation and natural language generation. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France (pp. 1625-1626). International Foundation for Autonomous Agents and Multiagent Systems.

Scrutable plan enactment via argumentation and natural language generation. / Caminada, Martin; Kutlak, Roman; Oren, Nir; Vasconcelos, Wamberto W.

Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France. International Foundation for Autonomous Agents and Multiagent Systems, 2014. p. 1625-1626.

Research output: Chapter in Book/Report/Conference proceedingChapter

Caminada, M, Kutlak, R, Oren, N & Vasconcelos, WW 2014, Scrutable plan enactment via argumentation and natural language generation. in Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France. International Foundation for Autonomous Agents and Multiagent Systems, pp. 1625-1626, 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014, Paris, France, 5/05/14.
Caminada M, Kutlak R, Oren N, Vasconcelos WW. Scrutable plan enactment via argumentation and natural language generation. In Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France. International Foundation for Autonomous Agents and Multiagent Systems. 2014. p. 1625-1626
Caminada, Martin ; Kutlak, Roman ; Oren, Nir ; Vasconcelos, Wamberto W. / Scrutable plan enactment via argumentation and natural language generation. Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France. International Foundation for Autonomous Agents and Multiagent Systems, 2014. pp. 1625-1626
@inbook{2bd7ca9de04844028814217d596d8521,
title = "Scrutable plan enactment via argumentation and natural language generation",
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.",
keywords = "argumentation, natural language generation, planning, explanations, demo, demonstration",
author = "Martin Caminada and Roman Kutlak and Nir Oren and Vasconcelos, {Wamberto W}",
year = "2014",
language = "English",
pages = "1625--1626",
booktitle = "Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems",

}

TY - CHAP

T1 - Scrutable plan enactment via argumentation and natural language generation

AU - Caminada, Martin

AU - Kutlak, Roman

AU - Oren, Nir

AU - Vasconcelos, Wamberto W

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - argumentation

KW - natural language generation

KW - planning

KW - explanations

KW - demo

KW - demonstration

M3 - Chapter

SP - 1625

EP - 1626

BT - Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), May 5-9, 2014, Paris, France

PB - International Foundation for Autonomous Agents and Multiagent Systems

ER -