Madureira, Ana MariaSantos, JoaquimPereira, Ivo2013-05-092013-05-0920089781605581316http://hdl.handle.net/10400.22/1534The 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.engArtificial intelligenceProblem solving, control methods, and search – schedulingDistributed artificial intelligence - multiagent systemsSelf-managing agents for dynamic scheduling in manufacturingconference object2013-04-23