The shark model is a theoretical tool used to describe and analyze the behavior of complex systems, drawing on the predatory behavior of sharks in Marine ecosystems. The model reveals the complexity of population dynamics in the ecosystem by simulating the interactions between sharks and their prey.

In the shark model, there are two main types of variables: predator and prey. The number of predators is closely related to the number of their prey, and predator growth often depends on the availability of prey. The number of prey is affected by the number of predators, forming a typical ecological balance. This interdependence allows scientists to predict the dynamics between populations. For example, when the number of prey increases, the number of predators may also increase with it, but if predators reproduce too much, this can lead to a drastic decline in the number of prey, thus affecting the survival of predators.

Shark models have been widely used in many fields. Ecologists use the model to study ecosystem stability and collapse, and how predation affects environmental health and biodiversity. In economics, this model has been adapted to analyze market competition, where the predator represents the dominant firm in the market and the prey is a small competitor, and the game between the two reveals the evolution of the market.

Moreover, the applicability of the shark model is not limited to ecological and economic fields. Biology, sociology and other disciplines also use this model to explore cooperation and competition between individuals. Through in-depth study of shark models, we can better understand how individuals interact within the system and how they affect the overall dynamics, and then develop effective management and conservation strategies.

Overall, the shark model, with its simple but powerful framework, provides researchers with a unique perspective to analyze the behavior of complex dynamic systems.