A generative model of trust formation and generations

dc.contributor	Graduate Program in Cognitive Science.
dc.contributor.advisor	Denizhan, Yağmur.
dc.contributor.advisor	Voss, Stephen,
dc.contributor.author	Özdeş, Mehmet Çelik.
dc.date.accessioned	2023-03-16T11:36:54Z
dc.date.available	2023-03-16T11:36:54Z
dc.date.issued	2018.
dc.identifier.other	COGS 2018 O84
dc.identifier.uri	http://digitalarchive.boun.edu.tr/handle/123456789/15700
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 ;