Date of Award

3-2025

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Operational Sciences

First Advisor

Brian J. Lunday, PhD

Second Advisor

William N. Caballero, PhD

Abstract

The goal of this research is to gain insight into how players of a game learn their strategy during the course of repeated play. The study employs the Experience Weighted Attraction (EWA) model, developed by Dr. Colin F. Camerer and Dr. Teck-Hua Ho, as the foundational behavioral framework. Using historic observed strategy decisions, the parameter values that define an opponent’s learning process are updated using various inference methods.

AFIT Designator

AFIT-ENS-MS-25-M-188

Comments

An embargo was observed for posting this thesis on AFIT Scholar.

This work is marked as Distribution A - Approved for public release. Distribution Unlimited. PA clearance case number on file.

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