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Título: | Norm internalization in artificial societies |
Autor: | Andrighetto, Giulia; Villatoro, Daniel CSIC; Conte, Rosaria | Palabras clave: | Internalization Agent architecture Rich cognitive modeling Agent based social simulation Norms Autonomous agents |
Fecha de publicación: | 2010 | Editor: | IOS Press | Citación: | AI Communications 23: 325- 339 (2010) | Resumen: | Internalization is at study in social-behavioural sciences and moral philosophy since long; of late, the debate was revamped within the rationality approach to the study of cooperation and compliance since internalization is a less costly and more reliable enforcement system than social control. But how does it work? So far, poor attention was paid to the mental underpinnings of internalization. This paper advocates a rich cognitive model of different types, degrees and factors of internalization. In order to check the individual and social effect of internalization, we have adapted an existing agent architecture, EMIL-A, providing it with internalization capabilities, turning it into EMIL-I-A. Experiments have proven satisfactory results with respect to the maintenance of cooperation in a proof-of-concept simulation. © 2010 - IOS Press and the authors. All rights reserved. | URI: | http://hdl.handle.net/10261/160960 | DOI: | 10.3233/AIC-2010-0477 | Identificadores: | doi: 10.3233/AIC-2010-0477 issn: 0921-7126 |
Aparece en las colecciones: | (IIIA) Artículos |
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