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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 11 months ago
Exploring XCS in multiagent environments
This paper investigates the adaptability of XCS in four different multiagent environments. The environments are realized in a simplified soccer game, and they include (1) singlea...
Hiroyasu Inoue, Keiki Takadama, Katsunori Shimohar...
AI
2002
Springer
15 years 6 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso

Lab
652views
17 years 5 months ago
Electronic Enterprises Laboratory
Our research is motivated by a strong conviction that business processes in electronic enterprises can be designed to deliver high levels of performance through the use of mathemat...
ISCAS
2005
IEEE
133views Hardware» more  ISCAS 2005»
15 years 11 months ago
Multiobjective VLSI cell placement using distributed simulated evolution algorithm
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
Sadiq M. Sait, Ali Mustafa Zaidi, Mustafa I. Ali
CHES
2006
Springer
87views Cryptology» more  CHES 2006»
15 years 10 months ago
Templates vs. Stochastic Methods
Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of `a-priori' knowledge gained from a profiling step. For a sys...
Benedikt Gierlichs, Kerstin Lemke-Rust, Christof P...