Norm internalization in artificial societies

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.

Publication type: 
Articolo
Author or Creator: 
Andrighetto
G.
Villatoro
D.
Conte
R
Publisher: 
Department Social Science Informatics, Amsterdam , Paesi Bassi
Source: 
AI communications (Print) 23 (2010): 325–333. doi:10.3233/AIC-2010-0477
info:cnr-pdr/source/autori:Andrighetto, G., Villatoro, D., Conte, R/titolo:Norm internalization in artificial societies/doi:10.3233/AIC-2010-0477/rivista:AI communications (Print)/anno:2010/pagina_da:325/pagina_a:333/intervallo_pagine:325–333/volume:23
Date: 
2010
Resource Identifier: 
http://www.cnr.it/prodotto/i/47223
https://dx.doi.org/10.3233/AIC-2010-0477
info:doi:10.3233/AIC-2010-0477
Language: 
Eng
ISTC Author: 
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