Social Causality and Responsibility: Modeling and Evaluation

  • Wenji Mao
  • Jonathan Gratch
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3661)


Intelligent virtual agents are typically embedded in a social environment and must reason about social cause and effect. Social causal reasoning is qualitatively different from physical causal reasoning that underlies most current intelligent systems. Besides physical causality, the assessments of social cause emphasize epistemic variables including intentions, foreknowledge and perceived coercion. Modeling the process and inferences of social causality can enrich the believability and the cognitive capabilities of social intelligent agents. In this paper, we present a general computational model of social causality and responsibility, and empirically evaluate and compare the model with several other approaches.


Causal Reasoning Causal Information Primitive Action Team Plan Judgment Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Wenji Mao
    • 1
  • Jonathan Gratch
    • 1
  1. 1.Institute for Creative TechnologiesUniversity of Southern CaliforniaMarina del ReyU.S.A.

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