Title :
High autonomy systems: concepts and models
Author :
Zeigler, Bernard P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
A review is presented of recent developments of concepts related to high autonomy systems and the roles played by conventional control theory and artificial intelligence. Autonomy is shown to be an extended paradigm that subsumes both control and AI paradigms, each of which is limited by its own abstractions. Autonomy, as a design goal, offers an arena where both control and AI paradigms must be applied as well as and a challenge to the viability of both as independent entities. Architectures in which such paradigms can be integrated are discussed, with some focus on a model-based approach. Benchmarks for levels of autonomy that arise out of the model-based architecture are given
Keywords :
artificial intelligence; computer architecture; computerised control; AI paradigms; abstractions; artificial intelligence; conventional control theory; design goal; extended paradigm; high autonomy systems; independent entities; model-based approach; model-based architecture; Artificial intelligence; Automatic control; Control theory; Expert systems; Humans; Intelligent control; Intelligent robots; Power engineering and energy; Power system modeling; Systems engineering and theory;
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.1990.93914