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SIGECOM
2006
ACM
107views ECommerce» more  SIGECOM 2006»
13 years 10 months ago
Networks preserving evolutionary equilibria and the power of randomization
We study a natural extension of classical evolutionary game theory to a setting in which pairwise interactions are restricted to the edges of an undirected graph or network. We ge...
Michael S. Kearns, Siddharth Suri
DIALM
2003
ACM
175views Algorithms» more  DIALM 2003»
13 years 9 months ago
Equilibria in topology control games for ad hoc networks
We study topology control problems in ad hoc networks, where network nodes get to choose their power levels in order to ensure desired connectivity properties. Unlike most other w...
Stephan Eidenbenz, V. S. Anil Kumar, Sibylle Zust
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
NETWORKING
2008
13 years 5 months ago
Evolutionary Power Control Games in Wireless Networks
In this paper, we apply evolutionary games to non-cooperative power control in wireless networks. Specifically, we focus our study in a power control in W-CDMA and WIMAX wireless s...
Eitan Altman, Rachid El Azouzi, Yezekael Hayel, Ha...
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
13 years 9 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...