activity
20162020
most citedExplainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

215 citations · 215 across the 1 of their papers we have counts for

collaborators

5 papers

cs.AI2020

Distal Explanations for Model-free Explainable Reinforcement Learning

Prashan Madumal, Tim Miller, Liz Sonenberg +1

In this paper we introduce and evaluate a distal explanation model for model-free reinforcement learning agents that can generate explanations for `why' and `why not' questions. Ou…

cs.LG2019

Explainable Reinforcement Learning Through a Causal Lens

Prashan Madumal, Tim Miller, Liz Sonenberg +1

Prevalent theories in cognitive science propose that humans understand and represent the knowledge of the world through causal relationships. In making sense of the world, we build…

cs.AI2019

A Grounded Interaction Protocol for Explainable Artificial Intelligence

Prashan Madumal, Tim Miller, Liz Sonenberg +1

Explainable Artificial Intelligence (XAI) systems need to include an explanation model to communicate the internal decisions, behaviours and actions to the interacting humans. Succ…

cs.AI2017215 cited

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

Tim Miller, Piers Howe, Liz Sonenberg

In his seminal book `The Inmates are Running the Asylum: Why High-Tech Products Drive Us Crazy And How To Restore The Sanity' [2004, Sams Indianapolis, IN, USA], Alan Cooper argues…

cs.RO2016

Social planning for social HRI

Liz Sonenberg, Tim Miller, Adrian Pearce +3

Making a computational agent 'social' has implications for how it perceives itself and the environment in which it is situated, including the ability to recognise the behaviours of…