Title
The role of emotion in self-explanations by cognitive agents
Author
Kaptein, F.
Broekens, J.
Hindriks, K.
Neerincx, M.A.
Publication year
2018
Abstract
Artificial Intelligence (AI) systems, including intelligent agents, are becoming increasingly complex. Explainable AI (XAI) is the capability of these systems to explain their behaviour, in a for humans understandable manner. Cognitive agents, a type of intelligent agents, typically explain their actions with their beliefs and desires. However, humans also take into account their own and other’s emotions in their explanations, and humans explain their emotions. We refer to using emotions in XAI as Emotion-aware eXplainable Artificial Intelligence (EXAI). Although EXAI should also include awareness of the other’semotions,in this work we focus on how the simulation of emotions in cognitive agents can help them self-explain their behaviour. We argue that emotions simulated based on cognitive appraisal theory enable (1) the explanation of these emotions, (2) using them as a heuristic to identify important beliefs and desires for the explanation, and (3) the use of emotion words in the explanations themselves.
Subject
Computation theory
Intelligent computing
Cognitive agents
Cognitive appraisal
Self explanations
Intelligent agents
To reference this document use:
http://resolver.tudelft.nl/uuid:36d8e17a-2e0f-446b-8776-ec076aa52aa2
TNO identifier
810140
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISBN
9781538606803
Source
7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017. 23 October 2017 through 26 October 2017 (January), 88-93
Document type
conference paper