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What is Element

Encyclopedia of Artificial Intelligence
Any variable of the program that contains a value that is used to feed into the neural network controller (input element) or to contain the answers of the neural network (output element). The input elements are usually the variables that contain the information from which the output will be generated. The output elements contain the output of the neural controller.
Published in Chapter:
Modularity in Artificial Neural Networks
Ricardo Téllez (Technical University of Catalonia, Spain) and Cecilio Angulo (Technical University of Catalonia, Spain)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-849-9.ch161
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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