Explaining BDI Agent Behaviour Through Dialogue

This work arose out of conversations at a Lorentz Workshop on the Dynamics of Multi-Agent Systems (2018). Thanks are due Koen Hindriks and Vincent Koeman for their input. The work was supported by the UKRI/EPSRC RAIN [EP/R026084], SSPEDI [EP/P011829/1 ] and FAIR-SPACE [EP/R026092] Robotics and AI Hubs and the Trustworthy Autonomous Systems Verifiability Node [EP/V026801/1]. Both authors contributed equally to the work, and author names are listed in alphabetical order.Peer reviewedPublisher PD

Scrutable Plan Enactment via Argumentation and Natural Language Generation (Demonstration)

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