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Advisor(s)
Abstract(s)
The main purpose of this paper is to propose a Multi-Agent
Autonomic and Bio-Inspired based framework with selfmanaging
capabilities to solve complex scheduling problems
using cooperative negotiation. Scheduling resolution requires the
intervention of highly skilled human problem-solvers. This is a
very hard and challenging domain because current systems are
becoming more and more complex, distributed, interconnected
and subject to rapidly changing. A natural Autonomic Computing
(AC) evolution in relation to Current Computing is to provide
systems with Self-Managing ability with a minimum human
interference.
Description
Keywords
Artificial intelligence Problem solving, control methods, and search – scheduling Distributed artificial intelligence - multiagent systems