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» An Artificial Chemistry for Networking
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CEC
2009
IEEE
16 years 1 months ago
HyperNEAT controlled robots learn how to drive on roads in simulated environment
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
Jan Drchal, Jan Koutník, Miroslav Snorek
ECAL
2007
Springer
16 years 27 days ago
Measuring Entropy in Embodied Neural Agents with Homeostasic Units: A Link Between Complexity and Cybernetics
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
Jorge Simão
IJCNN
2006
IEEE
16 years 22 days ago
In Situ Training of CMOL CrossNets
—— Hybrid semiconductor/nanodevice (“CMOL”) technology may allow the implementation of digital and mixed-signal integrated circuits, including artificial neural networks (...
Jung Hoon Lee, Konstantin Likharev
CEC
2005
IEEE
16 years 10 days ago
Dynamic salting route optimisation using evolutionary computation
Abstract- On marginal winter nights, highway authorities face a difficult decision as to whether or not to salt the road network. The consequences of making a wrong decision are s...
Hisashi Handa, Lee Chapman, Xin Yao
ANTSW
2004
Springer
16 years 3 days ago
An Ant Approach to Membership Overlay Design
Designing an optimal overlay communication network for a set of processes on the Internet is a central problem of peer-to-peer (P2P) computing. Such a network defines membership a...
Vittorio Maniezzo, Marco A. Boschetti, Márk...