DocumentCode
2394257
Title
Abstraction morphisms for task planning and execution
Author
Luh, Cheng-Jye ; Zeigler, Bernard P.
Author_Institution
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
fYear
1991
fDate
1-2 Apr 1991
Firstpage
50
Lastpage
59
Abstract
Deals with further efforts to develop abstraction mechanisms for systematic derivation of related models through the use of system morphisms. The authors describe an abstraction mechanism for mapping a task plan hierarchy into an isomorphic tree of model abstractions that supports hierarchical task execution. The task plan hierarchy is formulated in a model-based planning approach. They also show how the hierarchical execution structure can be constructed. Then the endomorphism concept employed in the modelling of autonomous systems is illustrated. The DEVS-Scheme knowledge-based, discrete event simulation environment is used to test the models and tools in an autonomous laboratory application
Keywords
hierarchical systems; knowledge engineering; planning (artificial intelligence); trees (mathematics); DEVS-Scheme; abstraction; autonomous laboratory; isomorphic tree; mapping; model-based planning; system morphisms; task execution; task plan hierarchy; task planning; Automation; Decoding; Discrete event simulation; Laboratories; Problem-solving; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
AI, Simulation and Planning in High Autonomy Systems, 1991. Integrating Qualitative and Quantitative System Knowledge, Proceedings of the Second Annual Conference on
Conference_Location
Cocoa Beach, FL
Print_ISBN
0-8186-2162-1
Type
conf
DOI
10.1109/AIHAS.1991.138448
Filename
138448
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