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Emergent collective properties in societies of neural networks

Grant number: 16/15860-3
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): October 01, 2016
Effective date (End): July 31, 2018
Field of knowledge:Physical Sciences and Mathematics - Physics - General Physics
Principal Investigator:Nestor Felipe Caticha Alfonso
Grantee:Lucas Silva Simões
Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

The project aims to deal with the construction of agent-based models to describe collective phenomena and shared beliefs through concepts of Statistical Mechanics, Information Theory and Machine Learning. Will be used analytical and computational techniques in order to confront theoretical predictions with large databases on moral opinions and ethnographic data. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SIMOES, LUCAS SILVA; CATICHA, NESTOR; POLPO, A; STERN, J; LOUZADA, F; IZBICKI, R; TAKADA, H. Mean Field Studies of a Society of Interacting Agents. BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, MAXENT 37, v. 239, p. 10-pg., . (16/15860-3)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SIMÕES, Lucas Silva. Emergent Collective Properties in Societies of Neural Networks. 2018. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Física (IF/SBI) São Paulo.

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