Modelling situations in intelligent agents

ABSTRACT

BDI agent systems and languages such as PRS, JAM, JACK, 3APL, and AgentSpeak have been widely used in developing robust and exible applications in dynamic domains. However, one criticism of these systems is that the modelling of how agent reasoning progresses is too reliant on the rather low level notion of individual events. In our own work in a number of application areas, we have consistently noticed a need for a more abstract concept, which we call a situation. Recognition by the agent that it is in a particular situation may affect the goals that it has, may place overarching constraints on how it operates, or may influence the way that it chooses to achieve its goals.

REFERENCES

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• 3: Raymond So , Liz Sonenberg, Situation Awareness in Intelligent Agents: Foundations for a Theory of Proactive Agent Behavior, Proceedings of the Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (IAT'04), p.86-92, September 20-24, 2004 [doi>10.1109/IAT.2004.99]
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INDEX TERMS

General Terms:
Design, Theory

Keywords:
agent and multi-agent architectures, frameworks, infrastructures and environments for agent systems