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
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;
Conference_Titel :
AI, Simulation and Planning in High Autonomy Systems, 1990., Proceedings.
Conference_Location :
Tucson, AZ
Print_ISBN :
0-8186-2043-9
DOI :
10.1109/AIHAS.1990.93938