Abstract Social causal reasoning is a core aspect of social intelligence. Modeling social inference can enhance the cognitive and social functions of intelligent systems and promote the design of multi-agent systems. In this paper, a computational model of inferring social causality and social judgment is proposed based on an agent's causal knowledge and communicative interactions with other agents. An example is provided to demonstrate how the model works, and the effectiveness of the computational model is empirically validated by comparing with the related work.
2008, Vol. 21 
