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CIRA
2007
IEEE
135views Robotics» more  CIRA 2007»
14 years 1 months ago
Morphological Evolution of Dynamic Structures in a 3-Dimensional Simulated Environment
— The results presented in this paper are a part of the second phase of a body of research with the goal of coevolving the mind and morphology of dynamic robots. We use a 3-Dimen...
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ram...
DEXA
1998
Springer
112views Database» more  DEXA 1998»
13 years 11 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
ROBOCUP
1999
Springer
114views Robotics» more  ROBOCUP 1999»
13 years 11 months ago
Motion Control in Dynamic Multi-Robot Environments
All mobile robots require some form of motion control in order to exhibit interesting autonomous behaviors. This is even more essential for multi-robot, highly-dynamic environment...
Michael H. Bowling, Manuela M. Veloso
AUTOMATICA
2007
81views more  AUTOMATICA 2007»
13 years 7 months ago
Modelling TCP congestion control dynamics in drop-tail environments
In this paper we study communication networks that employ drop-tail queueing and additive-increase multiplicative-decrease (AIMD) congestion control algorithms. We show that the t...
Robert Shorten, Chris King, Fabian Wirth, Douglas ...