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What are the basic definitions and concepts of the modeling of complex systems in mathematics?

I am a computer scientist, but I’m interested in theoretical mathematics because I have a strong interest in understanding how living, intelligent systems work. I wanted to know what are the basic definitions and concepts of the modeling of complex systems in mathematics. Is there any good set of theorems and definitions? I would like to read something like “The Theory of Computation” or “Theory of Computation and Logic” but this would be beyond my ability.
In the book “What is Life” the author states:

Many of these systems can be imagined as tightly interconnected networks of coupled interacting agents. Such a network, known as a “system of systems” or an “interaction network,” is an example of a complex system.

A:

The concept that was suggested to me by a professor at Cambridge University was the random networks model.
It states that:
The complex system is represented by a collection of nodes and edges, where each node represent a simple dynamic system. The set of edges represent the interactions among the systems.
Here is an example of a network for the climate model proposed by Lorenz (L63)

It is important to mention that only the first layer of the model is random, and every other node will have a specific structure. Of course this is not real in the world, but it is quite interesting and captures something similar to the dynamics of real systems.

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