Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Reference architecture for holonic manufacturing systems: PROSA
Computers in Industry - Special issue on manufacturing systems
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
A framework for virtual enterprise control with the holonic manufacturing paradigm
Computers in Industry
The Vision of Autonomic Computing
Computer
A Concept for Bionic Manufacturing Systems Based on DNA-type Information
Proceedings of the IFIP TC5 / WG5.3 Eight International PROLAMAT Conference on Human Aspects in Computer Integrated Manufacturing
Virtual enterprise and its intelligence management
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Multi-agent coordination and control using stigmergy
Computers in Industry
Wasp-like Agents for Distributed Factory Coordination
Autonomous Agents and Multi-Agent Systems
ADACOR: A Collaborative Production Automation and Control Architecture
IEEE Intelligent Systems
Agent learning in supplier selection models
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Individual Q-Learning in Normal Form Games
SIAM Journal on Control and Optimization
Manufacturing Execution Systems - MES
Manufacturing Execution Systems - MES
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Multi-agent learning for engineers
Artificial Intelligence
Enterprise modeling of a project-oriented fractal company for SMEs networking
Computers in Industry
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
A holonic approach for manufacturing execution system design: An industrial application
Engineering Applications of Artificial Intelligence
A reinforcement learning model for supply chain ordering management: An application to the beer game
Decision Support Systems
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Distributed control of production systems
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
Application of reinforcement learning for agent-based production scheduling
Engineering Applications of Artificial Intelligence
Protecting buying agents in e-marketplaces by direct experience trust modelling
Knowledge and Information Systems
Agent-based modeling and simulation of an autonomic manufacturing execution system
Computers in Industry
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In enterprise networks, companies interact on a temporal basis through client-server relationships between order agents (clients) and resource agents (servers) acting as autonomic managers. In this work, the autonomic MES (@MES) proposed by Rolon and Martinez (2012) has been extended to allow selfish behavior and adaptive decision-making in distributed execution control and emergent scheduling. Agent learning in the @MES is addressed by rewarding order agents in order to continuously optimize their processing routes based on cost and reliability of alternative resource agents (servers). Service providers are rewarded so as to learn the quality level corresponding to each task which is used to define the processing time and cost for each client request. Two reinforcement learning algorithms have been implemented to simulate learning curves of client-server relationships in the @MES. Emerging behaviors obtained through generative simulation in a case study show that despite selfish behavior and policy adaptation in order and resource agents, the autonomic MES is able to reject significant disturbances and handle unplanned events successfully.