Paper Info
Title
Knowledge Representation Model for Dynamic Processes
Abstract
Dynamic Processes are characterized by their evolutionary behaviour over time, defining a sequence of operation states of the System. Ascertaining the causes of a given system situation may become a difficult task, particularly in complex dynamic systems, since not all information required about the system state may be available at the precise moment. Knowledge-Based Supervision is an outstanding Artificial Intelligence field contributing successfully to the progress of the control and supervion areas. Three essential factors characterize the function of a supervisor system: time constraints demanded from the supervision process, temporal updating of information coming from the dynamic system and generation of qualitative knowledge about the dynamic system. In this work, an evolutionary data structure model conceived to generate, store and update qualitative information from raw data coming from a dynamic system is presented. This model is based on the concept of abstraction, in such a way an abstraction mechanism to generate qualitative knowledge about the dynamic system which the Knowledge-Based Supervisor is based on, is triggered according to some pre established considerations, among which real time constraints play a special role.
Year
DOI
Venue
2002
10.1007/3-540-36079-4_4
CCIA
Keywords
Field
DocType
qualitative information,system state,real time constraint,knowledge representation model,dynamic processes,system situation,qualitative knowledge,supervisor system,complex dynamic system,time constraint,knowledge-based supervision,dynamic system,artificial intelligent,knowledge representation,real time,data structure,knowledge base
Abstract data type,Supervisor,Information system,Data modeling,Knowledge representation and reasoning,Evolutionary algorithm,Industrial engineering,Computer science,Artificial intelligence,Knowledge base,Abstraction layer,Distributed computing
Conference
Volume
ISSN
ISBN
2504
0302-9743
3-540-00011-9
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
Gabriel Fiol-Roig1256.26