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GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
16 years 25 days ago
An approach to analyze the evolution of symbolic conditions in learning classifier systems
Pier Luca Lanzi, Stefano Rocca, Stefania Solari
HUC
2007
Springer
16 years 25 days ago
How Smart Homes Learn: The Evolution of the Networked Home and Household
Despite a growing desire to create smart homes, we know little about how networked technologies interact with a house’s infrastructure. In this paper, we begin to close this gap ...
Marshini Chetty, Ja-Young Sung, Rebecca E. Grinter
ECAL
2003
Springer
15 years 12 months ago
Learning Biases for the Evolution of Linguistic Structure: An Associative Network Model
Abstract. Structural hallmarks of language can be explained in terms of adaptation, by language, to pressures arising during its cultural transmission. Here I present a model which...
Kenny Smith
180
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ICES
1998
Springer
131views Hardware» more  ICES 1998»
15 years 11 months ago
Aspects of Digital Evolution: Geometry and Learning
In this paper we present a new chromosome representation for evolving digital circuits. The representation is based very closely on the chip architecture of the Xilinx 6216 FPGA. W...
Julian F. Miller, Peter Thomson