Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Industrial and practical applications of DAI
Multiagent systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
Developing Intelligent Agent Systems: A Practical Guide
Developing Intelligent Agent Systems: A Practical Guide
Decentralized control of E'GV transportation systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Web Intelligence and Agent Systems
Holonic coordination and control of an automated guided vehicle system
Integrated Computer-Aided Engineering
Dynamic manufacturing scheduling using both functional and resource related agents
Integrated Computer-Aided Engineering
The AARIA agent architecture: From manufacturing requirements to agent-based system design
Integrated Computer-Aided Engineering
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Design science in information systems research
MIS Quarterly
Intelligent agent based framework for manufacturing systems control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Matrix-Based Discrete Event Control for Surveillance Mobile Robotics
Journal of Intelligent and Robotic Systems
Adapting environment-mediated self-organizing emergent systems by exception rules
Proceedings of the second international workshop on Self-organizing architectures
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We consider a multi-agent system for the logistics control of Automatic Guided Vehicles that are used in the dough making process at an industrial bakery. Here, logistics control refers to constructing robust schedules for transportation jobs. We discuss how alternative MAS designs can be developed and compared. Qualitative design guidelines turn out to be insufficient to select the best agent architecture. Therefore, we also use simulation to support decision making, where we use real-life data from the bakery to evaluate alternative designs. We show that depending on the degree of dynamism and objectives of the bakery, different architectures are preferred.