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Modularity in Artificial Neural Networks

Modularity in Artificial Neural Networks

Ricardo Téllez, Cecilio Angulo
Copyright: © 2009 |Pages: 7
ISBN13: 9781599048499|ISBN10: 1599048493|EISBN13: 9781599048505
DOI: 10.4018/978-1-59904-849-9.ch161
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MLA

Téllez, Ricardo, and Cecilio Angulo. "Modularity in Artificial Neural Networks." Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, et al., IGI Global, 2009, pp. 1095-1101. https://doi.org/10.4018/978-1-59904-849-9.ch161

APA

Téllez, R. & Angulo, C. (2009). Modularity in Artificial Neural Networks. In J. Rabuñal Dopico, J. Dorado, & A. Pazos (Eds.), Encyclopedia of Artificial Intelligence (pp. 1095-1101). IGI Global. https://doi.org/10.4018/978-1-59904-849-9.ch161

Chicago

Téllez, Ricardo, and Cecilio Angulo. "Modularity in Artificial Neural Networks." In Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, Julian Dorado, and Alejandro Pazos, 1095-1101. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-849-9.ch161

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Abstract

The concept of modularity is a main concern for the generation of artificially intelligent systems. Modularity is an ubiquitous organization principle found everywhere in natural and artificial complex systems (Callebaut, 2005). Evidences from biological and philosophical points of view (Caelli and Wen, 1999) (Fodor, 1983), indicate that modularity is a requisite for complex intelligent behaviour. Besides, from an engineering point of view, modularity seems to be the only way for the construction of complex structures. Hence, whether complex neural programs for complex agents are desired, modularity is required. This article introduces the concepts of modularity and module from a computational point of view, and how they apply to the generation of neural programs based on modules. Two levels, strategic and tactical, at which modularity can be implemented, are identified. How they work and how they can be combined for the generation of a completely modular controller for a neural network based agent is presented.

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