Using ontology to establish social context and support social reasoning

Abstract

Believable agents are required to express human-like characteristics. While most recent research focus on graphics and plan execution, few concentrate on the issue of flexible interactions by reasoning about social relations. This paper integrates the idea of social constraints with social ontology to provide a machine readable framework as a standard model which can support social reasoning for generic BDI agents. A scenario is illustrated to show how social reasoning can be attained even in different social context. © Springer-Verlag Berlin Heidelberg 2005.