The interpreted system model of knowledge, belief, desire and intention

Authors:
Kaile Su;Xiangyu Luo;Abdul Sattar;Mehmet A Orgun
Affiliations:
Griffith University, Brisbane, Australia;Griffith University, Brisbane, Australia;Griffith University, Brisbane, Australia;Macquarie University, Sydney, Australia
Venue:
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Year:
2006

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Abstract

We present a new model of knowledge, belief, desire and intention, called the interpreted KBDI-system model (or KBDI-model for short). The key point of the interpreted KBDI-system model is that we express an agent's knowledge, belief, desire and intention as a set of runs (computing paths), which is exactly a system in the interpreted system model, a well-known agent model due to Halpern and his colleagues. Our KBDI-model is computationally grounded in that we are able to associate a KBDI-model with a computer program, and formulas, involving agents' knowledge, belief, desire (goal) and intention, can be understood as properties of program computations. We present a sound and complete proof system with respect to our KBDI-model and explore how symbolic model checking techniques can be applied to model checking multi-agent systems with KBDI-models.