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
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;
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
DOI :
10.1109/AIHAS.1991.138448