• DocumentCode
    2303334
  • Title

    A distributed scheduling framework

  • Author

    Gomes, Carla P. ; Tate, Austin ; Thomas, Lyn

  • Author_Institution
    Dept. of Artificial Intelligence, Edinburgh Univ., UK
  • fYear
    1994
  • fDate
    6-9 Nov 1994
  • Firstpage
    49
  • Lastpage
    55
  • Abstract
    A distributed problem solving approach to job shop scheduling is described. The approach views the system as an organisation. Agents are assigned different roles and functions depending on their position within the structure of the organisation. In this organisation, agents of the same level state their interests independently of each other and therefore conflict is likely to occur. A major thesis of the research reported here is that not only is it important to deal with conflict but also that conflict as a consequence of the scheduling process should be exploited as a way of integrating different scheduling perspectives, as a way of allowing agents to express their own interests independently of each other and, thus, as a way of guaranteeing pluralism by providing agents with both empirical knowledge (heuristics, dispatch rules) and theoretical knowledge (optimal algorithms)
  • Keywords
    cooperative systems; problem solving; scheduling; software agents; agents; conflict; dispatch rules; distributed problem solving approach; distributed scheduling framework; empirical knowledge; job shop scheduling; optimal algorithms; pluralism; scheduling perspectives; scheduling process; theoretical knowledge; Aggregates; Artificial intelligence; Displays; Job shop scheduling; Problem-solving; Resource management; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    0-8186-6785-0
  • Type

    conf

  • DOI
    10.1109/TAI.1994.346514
  • Filename
    346514