DocumentCode :
304654
Title :
Correction of dynamic knowledge
Author :
Pierret-golbreich, Christine
Author_Institution :
CNRS, Univ. de Paris-Sud, Orsay, France
fYear :
1996
fDate :
16-19 Nov. 1996
Firstpage :
228
Lastpage :
231
Abstract :
The work concerns a framework for the formal specification and verification of the dynamic knowledge of knowledge-based systems. At a conceptual level, a system is specified in terms of problems, problem-solving processes, knowledge. An important question is to determine if a process is applicable to solve a problem. In this paper we present how problems and problem-solving processes are specified by abstract data types and we introduce a formalization of the relationships between them. We show how it can be formally proved that a process is correct with respect to a given problem.
Keywords :
abstract data types; formal specification; formal verification; knowledge based systems; knowledge verification; abstract data types; dynamic knowledge correction; formal specification; formal verification; knowledge-based systems; problem-solving processes; Calculus; Elevators; Formal languages; Formal specifications; Knowledge based systems; Problem-solving; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-8186-7686-7
Type :
conf
DOI :
10.1109/TAI.1996.560456
Filename :
560456
Link To Document :
بازگشت