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Minding NormsMechanisms and dynamics of social order in agent societies$
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Rosaria Conte, Giulia Andrighetto, and Marco Campennl

Print publication date: 2013

Print ISBN-13: 9780199812677

Published to Oxford Scholarship Online: January 2014

DOI: 10.1093/acprof:oso/9780199812677.001.0001

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The Role of Norm Internalizers in Mixed Populations

The Role of Norm Internalizers in Mixed Populations

Chapter:
(p.153) 10 The Role of Norm Internalizers in Mixed Populations
Source:
Minding Norms
Author(s):

Giulia Andrighetto

Daniel Villatoro

Rosaria Conte

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199812677.003.0010

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.

Keywords:   rich cognitive modeling, norms, internalization, agent architecture, agent-based simulation

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