Control in Decentralized Industrial Organizations

Advanced technologies such as distributed ledgers and AI methods of analysis and machine learning allow for increasingly intelligent and distributed automation and control of industrial processes, altering traditional notions of closed, centralized, statically defined and functionally isolated automation systems.  The recent paper Control in DIO discusses the role blockchains can play in the automation of value production in decentralized industrial systems.

Author: Jay Bayne

scientist, philosopher, engineer - interested in the promotion, evolution and practice of cognitive computing

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