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Third International Conference on Multi Agent Systems (ICMAS'98)
Multi-Machine Scheduling - A Multi-Agent Learning Approach
Paris, France
July 03-July 07
ISBN: 0-8186-8500-X
| ASCII Text | x | ||
| Wilfried Brauer, Gerhard Weiß, "Multi-Machine Scheduling - A Multi-Agent Learning Approach," Multi-Agent Systems, International Conference on, pp. 42, Third International Conference on Multi Agent Systems (ICMAS'98), 1998. | |||
| BibTex | x | ||
| @article{ 10.1109/ICMAS.1998.699030, author = {Wilfried Brauer and Gerhard Weiß}, title = {Multi-Machine Scheduling - A Multi-Agent Learning Approach}, journal ={Multi-Agent Systems, International Conference on}, volume = {0}, year = {1998}, isbn = {0-8186-8500-X}, pages = {42}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICMAS.1998.699030}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Multi-Agent Systems, International Conference on TI - Multi-Machine Scheduling - A Multi-Agent Learning Approach SN - 0-8186-8500-X SP EP A1 - Wilfried Brauer, A1 - Gerhard Weiß, PY - 1998 VL - 0 JA - Multi-Agent Systems, International Conference on ER - | |||
Multi-machine scheduling, that is, the assigment of jobs to machines such that certain performance demands like cost and time effectiveness are fulfilled, is a ubiquitous and complex activity in everyday life. This paper presents an approach to multi-machine scheduling that follows the multi-agent learning paradigm known from the field of Distributed Artificial Intelligence. According to this approach the machines collectively and as a whole learn and iteratively refine appropriate schedules. The major characteristic of this approach is that learning is distributed over several machines, and that the individual machines carry out their learning activities in a parallel and asynchronous way.
Citation:
Wilfried Brauer, Gerhard Weiß, "Multi-Machine Scheduling - A Multi-Agent Learning Approach," icmas, pp.42, Third International Conference on Multi Agent Systems (ICMAS'98), 1998
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