BDI agents have been used with considerable success to model humans and create human-like characters in simulated environments. A key reason for this success is that the BDI paradigm is based in folk psychology, which means that the core concepts of the agent framework map easily to the language people use to describe their reasoning and actions in everyday conversation. However there are many generic aspects of human behaviour and reasoning that are not captured in the framework. While it is possible for the builder of a specific model or character to add these things to their model on a case by case basis, if many models are to be built it is highly desirable to integrate such generic aspects into the framework. This paper describes an approach to extending the BDI framework to create an enhanced framework for human modelling. It draws upon the folk psychological roots of the framework to create the extension, maintaining the mapping between the knowledge representation in the framework and the natural means of expressing expert knowledge. The application of this approach is illustrated with an extension to support human decision making.