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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
Acquiring evolvability through adaptive representations
Adaptive representations allow evolution to explore the space of phenotypes by choosing the most suitable set of genotypic parameters. Although such an approach is believed to be ...
Joseph Reisinger, Risto Miikkulainen
AIED
2005
Springer
14 years 1 months ago
The role of learning goals in the design of ILEs: Some issues to consider
Part of the motivation behind the evolution of learning environments is the idea of providing students with individualized instructional strategies that allow them to learn as much...
Erika Martínez-Mirón, Amanda Harris,...
ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
CEC
2008
IEEE
14 years 2 months ago
Social learning in Population-based Adaptive Systems
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
Evert Haasdijk, Paul Vogt, A. E. Eiben
IC3
2010
13 years 7 months ago
LACAIS: Learning Automata Based Cooperative Artificial Immune System for Function Optimization
Artificial Immune System (AIS) is taken into account from evolutionary algorithms that have been inspired from defensive mechanism of complex natural immune system. For using this ...
Alireza Rezvanian, Mohammad Reza Meybodi