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ECAL
2005
Springer
15 years 5 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 5 months ago
Intransitivity revisited coevolutionary dynamics of numbers games
Relative fitness, or “evaluation by tests” is one of the building blocks of coevolution: the only fitness information available is a comparison with other individuals in a p...
Pablo Funes, Enrique Pujals
GECCO
2005
Springer
125views Optimization» more  GECCO 2005»
15 years 5 months ago
Schema disruption in tree-structured chromosomes
We study if and when the inequality dp(H) ≤ rel∆(H) holds for schemas H in chromosomes that are structured as trees. The disruption probability dp(H) is the probability that a...
William A. Greene
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 5 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
GECCO
2005
Springer
171views Optimization» more  GECCO 2005»
15 years 5 months ago
Behaviorally coupled emergent representation
Traditionally, representation has been perceived as a necessity for producing intelligent behavior. Once the right representation is in place to drive it, behavior unfolds as the ...
Joseph Lewis, Jamie Lawson