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.
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, usually limit their application in reservoirs with limited data. Conventional techniques commonly used has been shown to be adequate or efficient enough. The uncertainty associated with the data available, the large size of databases to be manipulated and diversity of data types and ranges of values ​​are associated with factors that lead to consider that non-conventional mathematical techniques associated with computational intelligence such as artificial neural networks , fuzzy logic (fuz...
Esquemas de Aprendizado Neural Aplicados em Robótica Baseada em Comportamento
The degree of autonomy of an agent is related to the ability to decide for itself how to relate the sensor data with the commands to the actuators in their efforts to achieve the purposes for which it was designed. Thus, the ability of learning and adaptation of the agent is closely related to their...
PiramidNet - Redes Neurais Modulares e Hierárquicas
The main objective of this work is related to the development of autonomous agents with a high degree of intelligence and autonomy. It is intended to achieve this through the study, development and use of hierarchical neural networks can generate and control the behaviors of autonomous agents (AAs)....
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.