Faculty
Science
Supervisor Name
Dr. Gregory Pavlov and Dr. Joshua Foster
Keywords
behavioral economics, game theory, salience, satisficing, cellular automata, marketing
Description
This project is primarily inspired by three papers: Colin Camerer and Xiaomin Li’s (2019 working paper)—Using Visual Salience in Empirical Game Theory, Ryan Oprea’s (2020)—What Makes a Rule Complex?, and Caplin et. al.’s (2011)—Search and Satisficing. Over the summer, I worked towards constructing a model of choice for the visual coordination game that can model player behavior more accurately than traditional game theoretic predictions. It attempts to do so by incorporating a degree of bias towards salience into a cellular automaton search algorithm and utilizing it alongside a sequential search mechanism of satisficing. This presentation documents my research process, describes the challenges and breakthroughs I encountered, and gives an overview of the model I developed in its current form.
Acknowledgements
Thank you to my supervisors Dr. Gregory Pavlov and Dr. Joshua Foster and to the Western USRI for their support!
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Document Type
Video
Simulating Salience: Developing a Model of Choice in the Visual Coordination Game
This project is primarily inspired by three papers: Colin Camerer and Xiaomin Li’s (2019 working paper)—Using Visual Salience in Empirical Game Theory, Ryan Oprea’s (2020)—What Makes a Rule Complex?, and Caplin et. al.’s (2011)—Search and Satisficing. Over the summer, I worked towards constructing a model of choice for the visual coordination game that can model player behavior more accurately than traditional game theoretic predictions. It attempts to do so by incorporating a degree of bias towards salience into a cellular automaton search algorithm and utilizing it alongside a sequential search mechanism of satisficing. This presentation documents my research process, describes the challenges and breakthroughs I encountered, and gives an overview of the model I developed in its current form.