Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract
Abstract
Based on psychological attribution theory, this paper presents a domain-independent computational model to automate social causality and responsibility judgment according to an agent's causal knowledge and observations of interaction. The proposed model is also empirically validated via experimental study.
Cite
Text
Mao and Gratch. "Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract." International Joint Conference on Artificial Intelligence, 2013.Markdown
[Mao and Gratch. "Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract." International Joint Conference on Artificial Intelligence, 2013.](https://mlanthology.org/ijcai/2013/mao2013ijcai-modeling/)BibTeX
@inproceedings{mao2013ijcai-modeling,
title = {{Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract}},
author = {Mao, Wenji and Gratch, Jonathan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2013},
pages = {3166-3170},
url = {https://mlanthology.org/ijcai/2013/mao2013ijcai-modeling/}
}