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Título

Norm internalization in artificial societies

AutorAndrighetto, Giulia; Villatoro, Daniel; Conte, Rosaria
Palabras claveInternalization
Autonomous agents
Norms
Rich cognitive modeling
Agent based social simulation
Agent architecture
Fecha de publicación2010
EditorIOS Press
CitaciónAI Communications 23: 325- 339 (2010)
ResumenInternalization 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.
URIhttp://hdl.handle.net/10261/160960
Identificadoresdoi: 10.3233/AIC-2010-0477
issn: 0921-7126
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