Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/38999
Title: A Hardware architecture designed to implement the GFM paradigm
Author: Klimov, Andrei B.
Chumakov, S.M.
Issue Date: 2009
Abstract: Written by major contributors to the field who are well known within the community, this is the first comprehensive summary of the many results generated by this approach to quantum optics to date. As such, the book analyses selected topics of quantum optics, focusing on atom-field interactions from a group-theoretical perspective, while discussing the principal quantum optics models using algebraic language. The overall result is a clear demonstration of the advantages of applying algebraic methods to quantum optics problems, illustrated by a number of end-of-chapter problems. An invaluable source for atomic physicists, graduates and students in physics. " 2009 Wiley-VCH Verlag GmbH & Co. KGaA.",,,,,,"10.1002/9783527624003",,,"http://hdl.handle.net/20.500.12104/38999","http://www.scopus.com/inward/record.url?eid=2-s2.0-78649731073&partnerID=40&md5=20524a67574f664e22edab900bcada78",,,,,,,,"A Group-Theoretical Approach to Quantum Optics: Models of Atom-Field Interactions",,"1
322",,,,"Scopus
WOS",,,,,,,,,,,,"A Group-Theoretical Approach to Quantum Optics: Models of Atom-Field Interactions",,"Book" "40779","123456789/35008",,"Pasquier, J.L., Departamento de Ingeniería de Proyectos, CUCEI, Universidad de Guadalajara Apdo., Postal 307, CP 45101, Zapopan, Jalisco, Mexico",,"Pasquier, J.L.",,"2007",,""Growing Functional Modules" constitutes a prospective paradigm founded on the epigenetic approach whose proposal consists in designing a distributed architecture, based on interconnected modules, that allows the automatic generation of an autonomous and adaptive controller (artificial brain). The present paper introduces a new module designed to trigger causal inference; its functionality is discussed and its behavior is illustrated applying the module to solve the problem of a dynamic maze.",,,,,,,,,"http://hdl.handle.net/20.500.12104/39000","http://www.scopus.com/inward/record.url?eid=2-s2.0-67149096165&partnerID=40&md5=72f08735274bc0bd0448603d1cf42151",,,,,,,,"ICINCO 2007 - 4th International Conference on Informatics in Control, Automation and Robotics, Proceedings",,"456
463",,"ICSO",,"Scopus",,,,,,"Artificial brain; Autonomous control; Epigenetic robotics; Growing neural network; Learning system",,,,,,"A growing functional module designed to trigger causal inference",,"Conference Paper" "40780","123456789/35008",,"Pasquier, J.L., Departamento de Ingeniería de Proyectos, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Apdo. Postal 307, Zapopan, Jalisco, Mexico; Pérez, J.J.G., Departamento de Ingeniería de Proyectos, Centro Universitario de Ciencias Exactas e Ingenierías, Universidad de Guadalajara, Apdo. Postal 307, Zapopan, Jalisco, Mexico",,"Pasquier, J.L.
Perez, J.J.G.",,"2006",,"Growing Functional Modules (GFM) is a recently introduced paradigm conceived to automatically generate an adaptive controller which consists of an architecture based on interconnected growing modules. When running, the controller is able to build its own representation of the environment through acting and sensing. Due to this deep-rooted interaction with the environment, robotics is, by excellence, the field of application. This paper describes a hardware architecture designed to satisfy the requirements of the GFM controller and presents the implementation of a simple mushroom shaped robot. " Springer-Verlag Berlin Heidelberg 2006.
URI: http://hdl.handle.net/20.500.12104/39001
http://www.scopus.com/inward/record.url?eid=2-s2.0-33845954481&partnerID=40&md5=2a03ecf0b9b4d5e769b2be758fb55571
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