DocumentCode
3322700
Title
Model base management for multifaceted systems
Author
Zeigler, Bernard P. ; Luh, Cheng-Jye ; Kim, Tag-Gon
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear
1990
fDate
26-27 Mar 1990
Firstpage
25
Lastpage
31
Abstract
The management of model bases using system entity structure concepts is addressed. Building on the basis of the system entity structure/model base framework as implemented in the DEVS-Scheme, the authors have extended the ability of their knowledge/model base tools to support multifaceted systems design through the ability to generate a family of design alternatives, reusability of models, and model base coherence and evolvability. It is shown how the pruning process supports reuse of previously pruned structures. Concepts of context-sensitive pruning and partitioned entity structure bases are introduced to promote model base coherence and evolvability. Such an approach has been demonstrated in the design of a robot-managed space-borne laboratory simulation environment
Keywords
deductive databases; digital simulation; knowledge based systems; robots; software reusability; systems analysis; DEVS-Scheme; context-sensitive pruning; design alternatives; evolvability; knowledge/model base tools; model base coherence; model bases; multifaceted systems design; partitioned entity structure bases; pruning process; reusability; robot-managed space-borne laboratory simulation environment; system entity structure concepts; system entity structure/model base framework; Cognitive robotics; Context modeling; Image generation; Instruments; Laboratories; Orbital robotics; Robot kinematics; Robot sensing systems; Robot vision systems; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation and Planning in High Autonomy Systems, 1990., Proceedings.
Conference_Location
Tucson, AZ
Print_ISBN
0-8186-2043-9
Type
conf
DOI
10.1109/AIHAS.1990.93938
Filename
93938
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