• 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