Function values are modeled as a probability distribution to find the optimal value, instead of directly searching for them. In other words, the function value is found through probability distribution optimization.
The Gaussian process is used to probabilistically estimate unknown values of the function, and the acquisition function selects the next exploration point based on that probability distribution.
Bayesian Optimization Notion