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.
|Title of host publication||13th International Conference on Autonomous Agents and Multiagent Systems|
|Subtitle of host publication||AAMAS 2014|
|Publisher||International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)|
|Number of pages||2|
|Publication status||Published - 2014|
|Event||13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France|
Duration: 5 May 2014 → 9 May 2014
|Conference||13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014|
|Period||5/05/14 → 9/05/14|
ASJC Scopus subject areas
- Artificial Intelligence
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).