Automatic programming of behavior-based robots using reinforcement learning
Artificial Intelligence
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Genetic Programming And Multi-agent Layered Learning By Reinforcements
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Adaptation and Learning in Multi-Agent Systems: Some Remarks and a Bibliography
IJCAI '95 Proceedings of the Workshop on Adaption and Learning in Multi-Agent Systems
Strength and Money: An LCS Approach to Increasing Returns
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection
Genetic Programming and Evolvable Machines
SeSAm: implementation of agent-based simulation using visual programming
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Learning enabled cooperative agent behavior in an evolutionary and competitive environment
Neural Computing and Applications
Evolving predator and prey behaviours with co-evolution using genetic programming and decision trees
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
Autonomous agent behavior generation using multiobjective evolutionary optimization
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
FGCNS '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking Symposia - Volume 04
Evaluation of techniques for a learning-driven modeling methodology in multiagent simulation
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
Learning automata as a basis for multi agent reinforcement learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Generating inspiration for agent design by reinforcement learning
Information and Software Technology
How to design agent-based simulation models using agent learning
Proceedings of the Winter Simulation Conference
Behavior Abstraction Robustness in Agent Modeling
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Developing a valid agent-based simulation model is not always straight forward, but involves a lot of prototyping, testing and analyzing until the right low-level behavior is fully specified and calibrated. Our aim is to replace the try and error search of a modeler by adaptive agents which learn a behavior that then can serve as a source of inspiration for the modeler. In this contribution, we suggest to use genetic programming as the learning mechanism. For this aim we developed a genetic programming framework integrated into the visual agent-based modeling and simulation tool SeSAm, providing similar easy-to-use functionality.