Social causality and responsibility: modeling and evaluation

Authors:
Wenji Mao;Jonathan Gratch
Affiliations:
Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA
Venue:
Lecture Notes in Computer Science
Year:
2005

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Abstract

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.