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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

(p.153) 10 The Role of Norm Internalizers in Mixed Populations
Minding Norms

Giulia Andrighetto

Daniel Villatoro

Rosaria Conte

Oxford University Press

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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