| Abstract |
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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.
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 Additional Information
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Citation:
Emma Norling,
"Folk Psychology for Human Modelling: Extending the BDI Paradigm,"
aamas,
pp. 202-209,
Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1 (AAMAS'04),
2004
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