Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Integrating reactive, sequential, and learning behavior using dynamical neural networks
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Utilizing Dynastically Optimal Forma Recombination in Hybrid Genetic Algorithms
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Learning reactive and planning rules in a motivationally autonomousanimat
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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A hybrid approach for learning reactive behaviours is presented in this work. This approach is based on combining evolutionary algorithms (EAs) with the A* algorithm. Such combination is done within the framework of Dynastically Optimal Forma Recombination, and tries to exploit the positive features of EAs and A* (e.g., implicit parallelism, accuracy and use of domain knowledge) while avoiding their potential drawbacks (e.g., premature convergence and combinatorial explosion). The resulting hybrid algorithm is shown to provide better results, both in terms of quality and in terms of generalisation.