Punishment plays a crucial role in achieving and maintaining norm compliance. Several experimental works have shown that cooperation greatly increases when punishment opportunities are allowed. However, these studies have mainly looked at punishment from the classical economic perspective, as a way of changing people's conduct by increasing the cost of undesired behaviour. In this paper, we distinguish between two enforcing mechanisms, punishment and sanction, focusing on the specific ways in which they favour the emergence and maintenance of cooperation. In particular, by punishment we refer to a practice that works only by imposing a cost, while by sanction we indicate a practice that also signals the existence of a norm and that its violation is not condoned. To achieve this, we have developed a normative agent able both to punish and sanction offenders and to be affected by these enforcing mechanisms itself. The results obtained through agent-based simulation show us that sanction is more effective and makes the population more resilient to sudden than mere punishment.

Simulazione ad agenti e teoria della cooperazione. Il ruolo della sanzione

Cecconi Federico;Conte Rosaria
2011

Abstract

Punishment plays a crucial role in achieving and maintaining norm compliance. Several experimental works have shown that cooperation greatly increases when punishment opportunities are allowed. However, these studies have mainly looked at punishment from the classical economic perspective, as a way of changing people's conduct by increasing the cost of undesired behaviour. In this paper, we distinguish between two enforcing mechanisms, punishment and sanction, focusing on the specific ways in which they favour the emergence and maintenance of cooperation. In particular, by punishment we refer to a practice that works only by imposing a cost, while by sanction we indicate a practice that also signals the existence of a norm and that its violation is not condoned. To achieve this, we have developed a normative agent able both to punish and sanction offenders and to be affected by these enforcing mechanisms itself. The results obtained through agent-based simulation show us that sanction is more effective and makes the population more resilient to sudden than mere punishment.
2011
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Italiano
23
2
367
376
http://www.mulino.it/rivisteweb/scheda_articolo.php?id_articolo=35363&from=%2Fws%2FrwDirectDownload.php%3Fdoi%3D10.1422%2F35363
Sì, ma tipo non specificato
Agent based social simulation
ID_PUMA: /cnr.istc/2011-B0-009. - Area di valutazione 15e - Scienze e tecnologie per lo sviluppo e la governance sostenibili: aspetti economici, sociali, energetici ed ambientali
2
info:eu-repo/semantics/article
262
Andrighetto, Giulia ; Villatoro, Daniel ; Cecconi, Federico ; Conte, Rosaria
01 Contributo su Rivista::01.01 Articolo in rivista
none
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/182858
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