The society of mind
Emergence: from chaos to order
Emergence: from chaos to order
Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Understanding Intelligence
Introduction to Multiagent Systems
Introduction to Multiagent Systems
A Holonic Component-Based Approach to Reconfigurable Manufacturing Control Architecture
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Industrial Adoption of Agent-Based Technologies
IEEE Intelligent Systems
ADACOR: a holonic architecture for agile and adaptive manufacturing control
Computers in Industry
Case studies for self-organization in computer science
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Stigmergy in holonic manufacturing systems
Integrated Computer-Aided Engineering
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Self-organization in manufacturing operations
Communications of the ACM
Implementation of a Holonic Control System in a Flexible Manufacturing System
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
Bio-inspired multi-agent systems for reconfigurable manufacturing systems
Engineering Applications of Artificial Intelligence
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Old-fashioned centralized and rigid control structures are becoming inflexible to address the current requirements of reconfigurability, responsiveness and robustness. The Holonic Manufacturing Systems (HMS) paradigm, which was pointed out to face these requirements, translates the concepts inherited from social organizations and biology to the manufacturing world. It offers an alternative way of designing adaptive systems where the traditional centralized control is replaced by decentralization over distributed entities. In spite of its potential, methods regarding the self-adaptation and self-organization of complex systems are still missing. This paper discusses how the insights from biology in connection with new fields of computer science can be useful to enhance the holonic design aiming to achieve more self-adaptive and evolvable systems.