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
Link To Document :
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