Purpose: Summary of the state-of-the-art of the Distributed Artificial Intelligence applied to Intelligent Manufacturing. Main applications are presented along with different technologies applied in these areas. Design/methodology/approach: Intelligent Manufacturing area was split into many segments, which require different approach to intelligent problem solving. Multiagent systems negotiation needs were analysed and cooperation issues in the form of clustering, cloning, and learning were analysed in search for relevant tools. Findings: Detailed review of the approach to development of the agent based Intelligent Manufacturing from the fundamental considerations to the latest hands-on developments. Research limitations/implications: Many presented technologies call for detailed study before they can be implemented in practice. Originality/value: Thorough review of the Distributed Artificial Intelligence approach to current agile manufacturing needs. Key technologies are pointed out along with the main areas in which they can be implemented, and which require further research.
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