UNDERSTANDING HUMAN BEHAVIOR IN GAMES THROUGH LEVEL-0 MODELS

Justin Wilson

Open Access

UNDERSTANDING HUMAN BEHAVIOR IN GAMES THROUGH LEVEL-0 MODELS

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Justin Wilson ¹ ,

⁴ Computing Science Department, University of Alberta Edmonton, AB, Canada

Abstract

Understanding human behavior in strategic interactions is crucial for various fields ranging from economics to artificial intelligence. Level-0 models, which assume minimal cognitive effort and use simple heuristics, provide a foundational framework for predicting human decisions in game theory. This paper explores the concept of Level-0 models and their application in analyzing human behavior in strategic games. Level-0 models hypothesize that individuals adopt straightforward decision-making strategies, often based on immediate incentives or basic rules of thumb. Despite their simplicity, these models can offer valuable insights into human behavior, particularly in settings where rationality assumptions may not fully apply. This study reviews prominent Level-0 models, such as random choice, imitation, and heuristic-based strategies, and evaluates their effectiveness in predicting behavior across different game scenarios. Emphasis is placed on how these models capture behavioral patterns that deviate from traditional rational choice theory, shedding light on the complexities of decision-making under uncertainty. Furthermore, the paper discusses practical implications and limitations of Level-0 models in various applications, including economics, psychology, and game theory. By bridging theoretical insights with empirical evidence, this research contributes to a deeper understanding of human behavior in strategic contexts and informs the development of predictive models in diverse domains.

Keywords

Level-0 models, Human behavior, Game theory

References

📄 Agranov, M., Caplin, A., & Tergiman, C. (2010). The process of choice in guessing games. Social science working paper 1334r, California Institute of Technology.

📄 Arad, A. (2012). The tennis coach problem: A game-theoretic and experimental study. The BE Journal of Theoretical Economics,12(1).

📄 Arad, A., & Rubinstein, A. (2009). Colonel Blotto’s top secret files. Working paper.

📄 Arad, A., & Rubinstein, A. (2012). The 11–20 money request game: A level-k reasoning study. The American Economic Review,102(7), 3561–3573.

📄 Burchardi, K. B., & Penczynski, S. P. (2014). Out of your mind: Eliciting individual rea-soning in one shot games. Games and Economic Behavior,84, 39–57.

📄 Camerer, C., Ho, T., & Chong, J. (2004). A cognitive hierarchy model of games. Quarterly Journal of Economics,119(3), 861–898.

📄 Camerer, C., & Thaler, R. H. (1995). Anomalies: Ultimatums, dictators and manners.TheJournal of Economic Perspectives,9(2), 209–219.

📄 Camerer, C. F. (2003).Behavioral Game Theory: Experiments in Strategic Interaction.Princeton University Press.

📄 Cooper, D., & Van Huyck, J. (2003). Evidence on the equivalence of the strategic andextensive form representation of games.Journal of Economic Theory,110(2), 290–308.

📄 Costa-Gomes, M., Crawford, V., & Broseta, B. (2001). Cognition and behavior in normal-form games: An experimental study.Econometrica,69(5), 1193–1235.

How to Cite

Justin Wilson. (2024). UNDERSTANDING HUMAN BEHAVIOR IN GAMES THROUGH LEVEL-0 MODELS. Global Multidisciplinary Journal, 3(08), 7-11. https://www.grpublishing.org/journals/index.php/gmj/article/view/113

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Global Multidisciplinary Journal

UNDERSTANDING HUMAN BEHAVIOR IN GAMES THROUGH LEVEL-0 MODELS

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