Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract

Mao, Wenji; Gratch, Jonathan

Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract

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Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3166-3169.

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.

Wenji Mao, and Jonathan Gratch. 2013. Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 3166–3169. https://ijcai.org/proceedings/2013/479

@inproceedings{ijcai2013p479,
  title     = {Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract},
  author    = {Mao, Wenji and Gratch, Jonathan},
  booktitle = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {3166--3169},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/479},
}

TY  - CPAPER
TI  - Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions: Extended Abstract
AU  - Mao, Wenji
AU  - Gratch, Jonathan
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 3166
EP  - 3169
UR  - https://ijcai.org/proceedings/2013/479
ER  -