Observation-based logic of knowledge, belief, desire and intention

被引:0
|
作者
Su, Kaile [1 ]
Yue, Weiya
Sattar, Abdul
Orgun, Mehmet A.
Luo, Xiangyu
机构
[1] Griffith Univ, Inst Integrated & Intelligent Syst, Brisbane, Qld 4111, Australia
[2] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou 510275, Peoples R China
[3] Macquarie Univ, Dept Comp, Sydney, NSW 2109, Australia
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. With KBDI-model, we have two different semantics to interpret our logic of knowledge, belief, desire and intention. Moreover, with respect to each semantics, we present a sound and complete proof system.
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页码:366 / 378
页数:13
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