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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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Hunting for Norms in Unpredictable Societies

Hunting for Norms in Unpredictable Societies

(p.94) 7 Hunting for Norms in Unpredictable Societies
Minding Norms

Marco Campennì

Giulia Andrighetto

Federico Cecconi

Rosaria Conte

Oxford University Press

This chapter—which still grapples with the third question posed at the beginning of the book; i.e., how to characterize agents that are able to recognize, adopt, and comply with norms—presents and discusses an agent architecture, EMIL-A, implementing the model of norms introduced in the preceding chapter. The simulations presented are intended to check the roles of norm-recognition and normative beliefs in favoring norm emergence and innovation in a highly fragmented social environment. In particular, on one hand, the chapter aims to examine the performance of our normative agents compared to other, cognitively less complex, agents, like imitators following the rule of the majority. On the other hand, it aims to check whether normative systems can reach convergence even when cultural or material artifacts are obstacles to the spreading of beliefs and behaviors. Will norm-detectives succeed in finding out (new) norms? Or will convergence collapse?

Keywords:   normative architectures, EMIL-A, agent-based simulation, immergence, norms

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