Cesar Marcondes

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Cesar Marcondes is a PhD computer scientist (expect to graduate this Spring 08) from UCLA - University of California Los Angeles. Although his work is largely related to computer networks (TCP, network tomography and estimators), Cesar has great interest in AGI systems, specially applied to Biocomputing and Stock Markets. He has a minor formation in AI from UCLA, with courses on: Bayesian Networks (Prof. Darwiche), Causal Networks (Prof. Pearl), Pattern Classification (Prof. Zhu), Problem Solving with Search (Prof. Korf) and Automated Reasoning (Prof. Darwiche). This summer, he is working on the OpenCog as full-time developer.