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A generative model of trust formation and generations

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dc.contributor Graduate Program in Cognitive Science.
dc.contributor.advisor Denizhan, Yağmur.
dc.contributor.advisor Voss, Stephen, Özdeş, Mehmet Çelik. 2023-03-16T11:36:54Z 2023-03-16T11:36:54Z 2018.
dc.identifier.other COGS 2018 O84
dc.description.abstract This thesis introduces an agent based simulation of a multi-generation population with a dynamic trust network in a world with limited resources. This population is assumed to be under evolutionary pressure incurring costs of life and individuals must act wisely in order to survive and reproduce. Over their lifetimes individuals encounter strangers, assess their reliability and build lasting connections. They retain the memory of all past interactions and re-evaluate their trust in others and in themselves after all actions. Individuals employ various strategies to decide their course of action and take advice from their trust networks. We use this generative model to investigate the emergence and consequences of generational differences under various conditions of the world.
dc.format.extent 30 cm.
dc.publisher Thesis (M.A.) - Bogazici University. Institute for Graduate Studies in the Social Sciences, 2018.
dc.subject.lcsh Trust.
dc.title A generative model of trust formation and generations
dc.format.pages xv, 107 leaves ;

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