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Título

Does complex learning require complex connectivity?

AutorMora-Basáñez, Carlos Rubén de la; Guerra-Hernández, Alejandro; Steels, Luc
Fecha de publicación2006
EditorSpringer
CitaciónAdvances in Artificial Intelligence - IBERAMIA-SBIA: 572-581 (2006)
SerieLecture Notes in Computer Science 4140
ResumenSmall World and Scale Free network properties characterize many real complex phenomena. We assume that low level connectivity with such topological properties, e.g., anatomical or functional connectivity in brains, is compulsory to achieve high level cognitive functionality, as language. The study of these network properties provides tools to approach different issues in behavior based Artificial Intelligence (AI) that usually have been ill defined, e.g., complexity and autonomy. In this paper, we propose a model in which situated agents evolve knowledge networks holding both Small World and Scale Free properties. Experimental results in the context of Pragmatic Games, elucidate some required conditions to obtain the expected network properties when performing complex learning.
DescripciónTrabajo presentado a la 2nd International Joint Conference, 10th Ibero-American Conference on AI and 18th Brazilian AI Symposium; celebrados en Ribeirão Preto (Brasil) del 23 al 27 de octubre de 2006.
Versión del editorhttp://dx.doi.org/10.1007/11874850_61
URIhttp://hdl.handle.net/10261/127852
DOI10.1007/11874850_61
ISBN978-3-540-45462-5
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