Distributed Artificial Intelligence
Distributed Artificial Intelligence
Towards a theory of emergent functionality
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Object-oriented modeling and design
Object-oriented modeling and design
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
The AARIA agent architecture: an example of requirements-driven agent-based system design
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Industrial MAS for Planning and Control
Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers
Distributed Director Facilitator in a Multiagent Platform for Networked Embedded Controllers
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Experience with holonic and agent-based control systems and their adoption by industry
HoloMAS'05 Proceedings of the Second international conference on Holonic and Multi-Agent Systems for Manufacturing
A strategy to implement and validate industrial applications of holonic systems
HoloMAS'05 Proceedings of the Second international conference on Holonic and Multi-Agent Systems for Manufacturing
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In a highly flexible manufacturing line, the ability of the control system to react to and predict changes will ultimately determine the productivity of that line. This paper describes an Autonomous Cooperative System (ACS) for flexibly control a manufacturing line. The system allows each section of the line to have autonomy for controlling the operations of the underlying physical equipment. Autonomous decisions are carried out while the overall operations are optimized through cooperation among the controlled sections. ACS provides the ability to compensate for product changes, equipment wear and equipment failure. ACS was applied to a steel-rod production line. The operation of the line was observed during conditions of process and product changes. The results show how ACS reduced the impact of change and increased the productivity and flexibility of the line.