The Role of Norm Internalizers in Mixed Populations

This chapter focuses on three questions: what norms are, how they emerge, and how much and what type of mental complexity they need; and the chapter presents a dynamic model of norms and the corresponding agent architecture (EMIL-A), and shows the results of its application to a stylized environment (a social multi-setting world). The chapter then illustrates a simulator, EMIL-S, on which EMIL-A has fully been implemented, showes its effects on the emergence of a new norm in a more complex artificial context (artificial Wikipedia), and compares the results with data from a survey on the real-world domain of reference (Wikipedia). This chapter describes EMIL-I-A (EMIL Internalizer Agent), an extension of EMIL-A designed to account for a deeper form of norm immergence than addressed so far; i.e., norm internalization. Then it presents simulation results aimed at testing how EMIL-I-A performs in dynamic, unpredictable scenarios.

Publication type: 
Contributo in volume
Author or Creator: 
R. Villatoro
Minding Norms. Mechanisms and dynamics of social order in agent societies, edited by Conte, R., Andrighetto, G., Campennì, M., pp. 153–170, 2013
info:cnr-pdr/source/autori:Andrighetto, R. Villatoro, D., G., Conte/titolo:The Role of Norm Internalizers in Mixed Populations/titolo_volume:Minding Norms. Mechanisms and dynamics of social order in agent societies/curatori_volume:Conte, R., Andrighetto,
Resource Identifier:
ISTC Author: 
Giulia Andrighetto's picture
Real name: