UNDERSTANDING HUMAN BEHAVIOR IN GAMES THROUGH LEVEL-0 MODELS
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
References
How to Cite
Most read articles by the same author(s)
- Eleanor T. Brookstone, From Anomaly Detection to AI-Optimized SOC Playbooks: A Unified Analytical Approach to Ransomware and Insider Threats , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Alexander P. Hofmann, Intelligent Governance Architectures for Regulated Digital States: Integrating Compliance, Risk, and Cybersecurity through Artificial Intelligence and Internet of Things Enabled Public Services , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Gabriel M. Ribeiro, Strategic Integration of Absorptive Capacity and Intellectual Capital in SMEs: A Multidimensional Framework for Business Consulting Excellence , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Nathaniel P. Brooks, A Socio-Technical Examination of Agentic AI Orchestration in Composable Enterprise Systems , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Henry P. Lockwood, Intelligent Cloud-Based Deep Reinforcement Learning Architectures for Dynamic Portfolio Risk Prediction and Adaptive Asset Allocation , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Lorenzo Ricci, Priority-Aware Reactive Systems In Financial Services: Integrating Spring Webflux For SLA-Tiered Traffic Optimization , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Lucas Fernández-Molina , Infrastructure as Code and Platform Engineering Synergies in Multi-Cloud Enterprise Architectures: A Governance-Centric and DevEx-Driven Analysis , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Samuel Whitmore, Cyber-Resilient DevSecOps Architectures for Regulated Retail Cloud Ecosystems , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Owen B. Ashbourne, Automated Compliance and Governance in Cloud-Based Machine Learning Pipelines: Integrating MLOps, Auditability, and Regulatory Automation , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
- Viola Hartmann, Automation-Enhanced Transformation Of Legacy Quality Assurance: Integrating AI-Driven Pipelines For Cloud-Native Enterprise Systems , Global Multidisciplinary Journal: Vol. 5 No. 02 (2026): Volume 05 Issue 02
Similar Articles
- Patrick L. Grayson, Behavioral Biometric Intelligence and Regulatory Convergence in Retirement Account Protection: An AI Driven Security Architecture for 401k Platforms , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Alejandro M. Rivas, Adaptive FX Hedging and Predictive Learning Architectures for Crypto-Native Enterprises: Integrating Soft Computing, Deep Predictive Coding, and Game-Theoretic Decision Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Fabio Moretti, Dynamic Cloud Resource Optimization Using Reinforcement Learning And Queueing Models , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Henry P. Lockwood, Intelligent Cloud-Based Deep Reinforcement Learning Architectures for Dynamic Portfolio Risk Prediction and Adaptive Asset Allocation , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Alejandro M. Torres, Artificial Intelligence–Enabled Financial Anomaly Detection and Reconciliation: Governance, Risk, and Explainability in Modern Accounting Ecosystems , Global Multidisciplinary Journal: Vol. 4 No. 08 (2025): Volume 04 Issue 08
- Dr. Lukas Meyer, Integrating Hyperautomation, Generative Artificial Intelligence, and Intelligent Infrastructure for Smart Cities: A Unified Socio-Technical Framework , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Dr. Amelia Torres, Transforming Merger and Acquisition Practice through Artificial Intelligence: A Theoretical and Applied Framework for AI-Enabled Due Diligence and Decision-Making , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Asha R. Menon, Resilience and Reconfiguration: Managing Semiconductor-Induced Disruptions in Automotive and Critical Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Lukas Reinhardt, Financial Management Practices, Literacy, and Strategic Orientation in Small and Medium-Sized Enterprises: An Integrated Theoretical and Empirical Perspective , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Dr. Elias Thorne, Dr. Sarah Vance, Unsupervised Feature Alignment: Ethical and Explainable Contrastive Approaches in Multimodal Artificial Intelligence Systems , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
You may also start an advanced similarity search for this article.