DocumentCode :
3424456
Title :
Psychological models in autonomic computing systems
Author :
Lee, Andrew
Author_Institution :
Dept. of Comput. Sci., Exeter Univ., UK
fYear :
2004
fDate :
30 Aug.-3 Sept. 2004
Firstpage :
747
Lastpage :
751
Abstract :
This paper considers three psychological theories of motivation with respect to their potential contributions to autonomic systems design. Motivational theories are explored here since they seek to explain the mechanisms by which behaviours in living organisms are initiated. These motivational drives offer an analogy with the management of autonomic functions by modelling the criteria under which autonomic behaviours are controlled. A correlation between the two fields is suggested, raising the possibility of adopting concepts from established psychological theories in the design of autonomic computing systems.
Keywords :
cognition; human factors; psychology; autonomic behaviour; autonomic computing system design; living organisms; motivational theory; psychological model; Animals; Cognition; Communication system software; Computer science; Humans; Organisms; Psychology; Safety; Software maintenance; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2004. Proceedings. 15th International Workshop on
ISSN :
1529-4188
Print_ISBN :
0-7695-2195-9
Type :
conf
DOI :
10.1109/DEXA.2004.1333564
Filename :
1333564
Link To Document :
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