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Zaragoza, Spain
Aug. 30, 2004 to Sept. 3, 2004
ISBN: 0-7695-2195-9
pp: 747-751
Andrew Lee , Exeter University
ABSTRACT
This paper considers three psychological theories of motivation with respect to their potential contributions to autonomic systems design.<div></div> 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.<div></div> 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.
INDEX TERMS
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CITATION
Andrew Lee, "Psychological Models in Autonomic Computing Systems", DEXA, 2004, 2012 23rd International Workshop on Database and Expert Systems Applications, 2012 23rd International Workshop on Database and Expert Systems Applications 2004, pp. 747-751, doi:10.1109/DEXA.2004.1333564
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