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Norm internalization in artificial societies

Articolo
Data di Pubblicazione:
2010
Abstract:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Rich cognitive modeling; norms internalization; agent architecture; autonomous agents; agent based social simulation
Elenco autori:
Andrighetto, Giulia; Conte, Rosaria
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/70449
Pubblicato in:
AI COMMUNICATIONS
Journal
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