A practical situation based agent architecture for social simulations

The concept of situation is central to the decision making processes of both human and software agents. The recognition of situation facilitates decision processes that ultimately result in action selection. Cognitive agent architectures that incorporate the concept of situation provide the opportunity for more sophisticated representations of human behavior and for more sophisticated decision support applications. This paper provides an overview of a general cognitive architecture for use in multi-agent simulation with the concept of situation central to the action selection and decision making process.