A Distributed Scheduling Framework

Austin Tate, Carla P. Gomes, Lyn Thomas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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)
Original languageEnglish
Title of host publicationTools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages49-55
Number of pages7
ISBN (Print)0-8186-6785-0
DOIs
Publication statusPublished - 1994
EventSixth International Conference on Tools with Artificial Intelligence - Louisiana, New Orleans, United States
Duration: 6 Nov 19949 Nov 1994

Conference

ConferenceSixth International Conference on Tools with Artificial Intelligence
CountryUnited States
CityNew Orleans
Period6/11/949/11/94

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