Emergence of Cooperation on Static and Dynamic Networks

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State: Public
Version: After imprimatur
Serval ID
serval:BIB_7BCB07A89F53
Type
PhD thesis: a PhD thesis.
Collection
Publications
Institution
Title
Emergence of Cooperation on Static and Dynamic Networks
Author(s)
Pestelacci E.
Director(s)
Tomassini M.
Institution details
Université de Lausanne, Faculté des hautes études commerciales
Publication state
Accepted
Issued date
11/2010
Language
english
Number of pages
238
Abstract
Game theory is a branch of applied mathematics used to analyze situation where two or more agents are interacting. Originally it was developed as a model for conflicts and collaborations between rational and intelligent individuals. Now it finds applications in social sciences, eco- nomics, biology (particularly evolutionary biology and ecology), engineering, political science, international relations, computer science, and philosophy. Networks are an abstract representation of interactions, dependencies or relationships. Net- works are extensively used in all the fields mentioned above and in many more. Many useful informations about a system can be discovered by analyzing the current state of a network representation of such system. In this work we will apply some of the methods of game theory to populations of agents that are interconnected. A population is in fact represented by a network of players where one can only interact with another if there is a connection between them. In the first part of this work we will show that the structure of the underlying network has a strong influence on the strategies that the players will decide to adopt to maximize their utility. We will then introduce a supplementary degree of freedom by allowing the structure of the population to be modified along the simulations. This modification allows the players to modify the structure of their environment to optimize the utility that they can obtain.
Create date
23/11/2010 10:39
Last modification date
20/08/2019 14:37
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