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» Swarm Intelligence: From Natural to Artificial Systems
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AGI
2008
13 years 9 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
FLAIRS
2000
13 years 9 months ago
Inferencing Bayesian Networks from Time Series Data Using Natural Selection
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
Andrew J. Novobilski, Farhad Kamangar
ANTSW
2006
Springer
13 years 11 months ago
Communication, Leadership, Publicity and Group Formation in Particle Swarms
In this paper we look at how the structure of the social network and the nature of the social interactions can affect the behaviour of particle swarms. To this end, we create and ...
Riccardo Poli, William B. Langdon, Paul Marrow, Ja...
ANTSW
2010
Springer
13 years 2 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...