Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Modular Genetic Neural Networks for Six-Legged Locomotion
AE '95 Selected Papers from the European conference on Artificial Evolution
Simulation of Multi-Robot Teams with Flexible Level of Detail
SIMPAR '08 Proceedings of the 1st International Conference on Simulation, Modeling, and Programming for Autonomous Robots
Dynamic population variation in genetic programming
Information Sciences: an International Journal
Memory-enhanced evolutionary robotics: the echo state network approach
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Evaluation and enhancement of common simulation methods for robotic range sensors
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
Implementing automated robot task planning and execution based on description logic KB
SIMPAR'10 Proceedings of the Second international conference on Simulation, modeling, and programming for autonomous robots
Bio-inspired algorithm for wheeled robot|s navigation
International Journal of Artificial Intelligence and Soft Computing
Introducing novelty search in evolutionary swarm robotics
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Generic behaviour similarity measures for evolutionary swarm robotics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Simbad is an open source Java 3d robot simulator for scientific and educational purposes It is mainly dedicated to researchers and programmers who want a simple basis for studying Situated Artificial Intelligence, Machine Learning, and more generally AI algorithms, in the context of Autonomous Robotics and Autonomous Agents It is is kept voluntarily readable and simple for fast implementation in the field of Research and/or Education. Moreover, Simbad embeds two stand-alone additional packages : a Neural Network library (feed-forward NN, recurrent NN, etc.) and an Artificial Evolution Framework for Genetic Algorithm, Evolutionary Strategies and Genetic Programming These packages are targeted towards Evolutionary Robotics. The Simbad Package is available from http://simbad.sourceforge.net/ under the conditions of the GPL (GNU General Public Licence).