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Mecanica statistical applications to social systems: interaction and cultural evolution.

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Author(s):
João Pedro Jericó de Andrade
Total Authors: 1
Document type: Master's Dissertation
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Instituto de Física (IF/SBI)
Defense date:
Examining board members:
Renato Vicente; Leonardo Paulo Maia; Andre de Pinho Vieira
Advisor: Renato Vicente
Abstract

In this dissertation we apply statistical mechanics methods to two problems involving social interaction and cultural evolution. The first problem concerns the evolution and maintenance of altruistic cooperation. We discuss the two level Fisher-Wright mecanism proposed in [49] which deals with the question of evolutionary viability of altruistic behavior in a group structured population with migration, and is capable of circumventing certain limitations of other mecanisms proposed in the last century. We use this framework to analyse Boyd, Gintis and Bowles\' model [12] for the maintenance and proliferation of cooperation through altruistic punishment, showing that the two level Fisher-Wright process allows for a more robust and natural approach, showing altruism to be viable even at significantly high migration rates. The second problem deals with a model for explaining certain quantitative data obtained by Jonathan Haidt [32] in his Moral Foundation Theory. We study the agent based interaction model proposed in [16] in a scenario where the influcence graph consists of the Facebook social network to understand the network\'s influence in the results. (AU)

FAPESP's process: 10/04051-0 - Statistical Mechanics of Information Processing In Social Systems
Grantee:João Pedro Jericó de Andrade
Support Opportunities: Scholarships in Brazil - Master