Evolutionary programming in SADDE
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Agent-based modelling of ecosystems for sustainable resource managment
Mutli-agents systems and applications
Feature Article: Optimization for simulation: Theory vs. Practice
INFORMS Journal on Computing
Design and Analysis of Experiments
Design and Analysis of Experiments
Automatic tuning of agent-based models using genetic algorithms
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Techniques for analysis and calibration of multi-agent simulations
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Engineering Societies in the Agents World IX
MATES'06 Proceedings of the 4th German conference on Multiagent System Technologies
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Agent-based simulations form a valuable tool for learning about real world societies and global behaviors of systems emerging from microscopic relationships. Calibration of model parameters for detailed agent-based models is a big problem for standard calibration techniques, due to the large parameter search spaces, long simulation run times, uncertainties in the structural model design and different observation levels upon which the model needs to be calibrated. In this paper we propose several methods to improve the calibration process of agent-based simulations.