Connectionism and Cognitive Science Lab
Welcome to the new L3C website! Here you can find information about our current researchs and publications
News
May 14, 2012 · The L3C group has grown
Check out the researchers of the L3C.
February 22, 2012 · Paper accepted at IEEE CEC 2012
The following paper was accepted for oral presentation at IEEE Congress on Evolutionary Computation that will be presented in Brisbane at June 14th 2012: Cassio Rodrigo Conti, Mauro Roisenberg and Guenther Schwedersky Neto, ACOR-V - an Algorithm that Incorporates the Visibility Heuristic to the ACO in Continuous Domain
February 15, 2011 · L3C website
The L3C website is on line.
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Learning
Term by definition
Machine learning has been central to AI research from the beginning. Unsupervised learning is the ability to find patterns in a stream of input. Supervised learning includes both classification and numerical regression.
E&PRiskIV
During the development of Module Neural E&PRiskIII, it was observed that a point "critical" in a good performance Module Neural regarding the ability to forecast total operating time with respect to quality of historical data that are used for training neural network and that are in a database provided by the user. If the training set is not sufficiently representative with respect to alternatives for various conditions and operating parameters of drilling / completion, the neural network will have its capacity for generalization greatly impaired resulting in inaccurate forecasts or even incorrect. It is intended then research and development of intelligent techniques and automated data mining applied to databases of drilling / completion in order to reduce or withdraw the us...
Ant Colony Optimization in Continuous Domains
Ant Colony Optimization (ACO) is a meta heuristic based on the foraging behavior of ants. It was initially proposed to solve discrete combinatorial optimization problems. In this project we study some ACO techniques developed to continuous domains problems, comparing the features of classical discre...
SICRES
Intelligent System for Reservoir Characterization
Several scientific publications have been devoted to modeling reservoirs using seismic data and using techniques of pattern recognition. Although there are several techniques for reservoir modeling, the need for geological and reservoir data needed,...
Officialy founded at may 5th of 2000, this lab combines researchers of Computer Sciences at various fields such as: Artificial Neural Networks, Evolutionary Computation, Game Theory and Logic. Aimed at studying the cognition emergence by Nature inspired paradigms, starting by connectionism making a bridge between symbolic, connectionist and evolutive approaches of Artificial Intelligence. More than a workplace, the lab intends to be a group of researchers linked by common interests without physical frontiers.