Computation at the edge of chaos: phase transitions and emergent computation
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
Evaluating evolutionary algorithms
Artificial Intelligence - Special volume on empirical methods
A new kind of science
Self-Organizing Maps
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Self-Organizing Maps
Turing universality of the game of life
Collision-based computing
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Coalition formation mechanism in multi-agent systems based on genetic algorithms
Applied Soft Computing
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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Since its origins, Cellular Automata (CA) has been used to model many type of physical and computational phenomena. Interacting CAs in spatial lattices combined with evolutionary game theory have been very popular for modeling genetics or behavior in biological systems. Cellular Evolutionary Algorithms (cEAs) are a kind of evolutionary algorithm (EA) with decentralized population in which interactions among individuals are restricted to the closest ones. The use of decentralized populations in EAs allows to keep the population diversity for longer, usually resulting in a better exploration of the search space and, therefore in a better performance of the algorithm. A new adaptive technique (EACO) based on Cellular Automata, Game Theory and Coalitions uses dynamic neighborhoods to enhance the quality of cEAs. In this article we compare the characteristics EACO with classical Self-organizing Maps (SOM), and we discuss the possibilities for using Game Theory and Coalitions in the SOM scenario.