Algorithmic Provision under Inequality

Author ORCID Identifier

0009-0004-1540-2069

Degree Year

2022

Document Type

Thesis - Oberlin Community Only

Degree Name

Bachelor of Arts

Department

Computer Science

Advisor(s)

Sam Taggart

Committee Member(s)

Sam Taggart
Bob Geitz
Adam Eck

Keywords

Simulation and modeling, Game theory, Model development, Model validation and analysis, Optimization, Social welfare

Abstract

Provisioning is a common problem in the real world. Some services or resources are allocated to people in need for the general welfare. Costs may occur during the process as screening tools to distinguish people with higher values for services. To better represent the reality and improve performance, we propose a new model that charges money and wait time as costs and considers the inequalities in people’s values towards money and time. We show that the output of this model is more complicated than previously studied ones, but useful structural properties and optimal policies can be derived with further assumptions.

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