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CEC
2007
IEEE
15 years 6 months ago
Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
Sergiu Goschin, Eduard Franti, Monica Dascalu, San...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 5 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
ECAL
2001
Springer
15 years 4 months ago
The Shifting Network: Volume Signalling in Real and Robot Nervous Systems
This paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. It goes on to describe work in adaptive autonomous sy...
Phil Husbands, Andrew Philippides, Tom Smith, Mich...
CEC
2005
IEEE
15 years 5 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan
FLAIRS
2004
15 years 1 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li