Behavioral Game Theory Adversarial Models

Model

⎊ These analytical constructs integrate insights from behavioral economics into game theory to predict non-rational, yet systematic, actions by market participants in high-stakes environments like crypto derivatives trading. Such frameworks move beyond purely rational agent assumptions, acknowledging cognitive biases that drive price discovery and volatility clustering. Developing robust adversarial simulations using these models is essential for stress-testing trading strategies.