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
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