TY - GEN
T1 - Self-organizing maps with non-cooperative strategies (SOM-NC)
AU - Neme, Antonio
AU - Hernández, Sergio
AU - Neme, Omar
AU - Hernández, Leticia
PY - 2009
Y1 - 2009
N2 - The training scheme in self-organizing maps consists of two phases: i) competition, in which all units intend to become the best matching unit (BMU), and ii) cooperation, in which the BMU allows its neighbor units to adapt their weight vector. In order to study the relevance of cooperation, we present a model in which units do not necessarily cooperate with their neighbors, but follow some strategy. The strategy concept is inherited from game theory, and it establishes whether the BMU will allow or not their neighbors to learn the input stimulus. Different strategies are studied, including unconditional cooperation as in the original model, unconditional defection, and several history-based schemes. Each unit is allowed to change its strategy in accordance with some heuristics. We give evidence of the relevance of non-permanent cooperators units in order to achieve good maps, and we show that self-organization is possible when cooperation is not a constraint.
AB - The training scheme in self-organizing maps consists of two phases: i) competition, in which all units intend to become the best matching unit (BMU), and ii) cooperation, in which the BMU allows its neighbor units to adapt their weight vector. In order to study the relevance of cooperation, we present a model in which units do not necessarily cooperate with their neighbors, but follow some strategy. The strategy concept is inherited from game theory, and it establishes whether the BMU will allow or not their neighbors to learn the input stimulus. Different strategies are studied, including unconditional cooperation as in the original model, unconditional defection, and several history-based schemes. Each unit is allowed to change its strategy in accordance with some heuristics. We give evidence of the relevance of non-permanent cooperators units in order to achieve good maps, and we show that self-organization is possible when cooperation is not a constraint.
UR - http://www.scopus.com/inward/record.url?scp=69049104265&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02397-2_23
DO - 10.1007/978-3-642-02397-2_23
M3 - Contribución a la conferencia
SN - 3642023967
SN - 9783642023965
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 200
EP - 208
BT - Advances in Self-Organizing Maps - 7th International Workshop, WSOM 2009, Proceedings
T2 - 7th International Workshop on Self-Organizing Maps, WSOM 2009
Y2 - 8 June 2009 through 10 June 2009
ER -