Ensemble of Evolving Neural Networks in Classification
Neural Processing Letters
Tuning evaluation functions by maximizing concordance
Theoretical Computer Science - Advances in computer games
Neural network Othello competition
ACM SIGEVOlution
Fitness functions in evolutionary robotics: A survey and analysis
Robotics and Autonomous Systems
Fitness Diversity Parallel Evolution Algorithms in the Turtle Race Game
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Communication during learning in heterogeneous teams of learning agents
Intelligent Decision Technologies
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
A case study on the critical role of geometric regularity in machine learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
In search of intelligent genes: the cartesian genetic programming computational neuron (CGPCN)
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Retaining the lessons from past for better performance in a dynamic multiple task environment
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Temporal difference learning with interpolated table value functions
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Introducing a round robin tournament into Blondie24
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Computationally efficient behaviour based controller for real time car racing simulation
Expert Systems with Applications: An International Journal
Visualizing multidimensional data through multilayer perceptron maps
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part I
Decision tree-based algorithms for implementing bot AI in UT2004
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Evolving defence strategies by genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
EvoGeneSys, a new evolutionary approach to graph generation
Applied Soft Computing
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An evolutionary algorithm has taught itself how to play the game of checkers without using features that would normally require human expertise. Using only the raw positions of pieces on the board and the piece differential, the evolutionary program optimized artificial neural networks to evaluate alternative positions in the game. Over the course of several hundred generations, the program taught itself to play at a level that is competitive with human experts (one level below human masters). This was verified by playing the best evolved neural network against 165 human players on an Internet gaming zone. The neural network's performance earned a rating that was better than 99.61% of all registered players at the Website. Control experiments between the best evolved neural network and a program that relies on material advantage indicate the superiority of the neural network both at equal levels of look ahead and CPU time. The results suggest that the principles of Darwinian evolution may he usefully applied to solving problems that have not yet been solved by human expertise