CAUSAL FUNCTIONAL REPRESENTATION LANGUAGE WITH BEHAVIOR-BASED SEMANTICS

被引:21
作者
IWASAKI, Y [1 ]
VESCOVI, M [1 ]
FIKES, R [1 ]
CHANDRASEKARAN, B [1 ]
机构
[1] OHIO STATE UNIV,DEPT COMP & INFORMAT SCI,AL RES LAB,COLUMBUS,OH 43210
关键词
D O I
10.1080/08839519508945465
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Understanding the design of a device requires both knowledge of the general physical principles that determine its behavior and knowledge of its intended functions. However; the majority of work in model-based reasoning has focused on using either one of these types of knowledge alone. In order to use both types of knowledge in understanding a device design, one must represent the functional knowledge in such a way that it has a clear interpretation in terms of observed behavior. We propose a new formalism, causal functional representation language (CFRL), for representing device functions with well-defined semantics in terms of behavior CFRL allows the specification of conditions that a behavior must satisfy, such as occurrence of temporal sequences of events and causal relations among them and the components. We have used CFRL as the basis for a functional verification program, which determines whether a behavior achieves an intended function.
引用
收藏
页码:5 / 31
页数:27
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