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Antecipatory and Developemental Mechanisms in the Synthesis of Dynamic Cognitive Networks for Autonomous Navigation

Grant number: 09/06767-6
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): August 01, 2009
Effective date (End): January 31, 2011
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Fernando José von Zuben
Grantee:Alisson Gusatti Azzolini
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The project consists on the synthesis of controlers based on dynamical cognition networks for autonomous navigation of robots. Emphasys will be put on antecipatory behaviour. The synthesis will be performed by evolutive and developmental algorithms. Two kinds of cogntive network will be considered: one based on immunological networks and the other based on genetic networks.

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
AZZOLINI, Alisson Gusatti. Reinforcement learning in probabilistic models of immune networks for autonomous robotics. 2011. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.