## 3.6 **Modeling interactions between processes and agents**

### 3.6.1 The Competetive Lottka-Volterra Equations

The coupled predator-prey dynamics in the previous assignment are not a very realistic model of an actual ecological system. Both equations are exponential growth functions, but **R**abbits for example, also have to eat! One way to increase realism is to consider coupled logistic growth by introducing a carrying capacity.

- Follow the link to this Wiki page and try to model the system!

This is what

interaction dynamicsrefers to, modeling mutual dependiencies using the`if ... then`

conditional rules isn’t really about interaction, or coupling between processes.

### 3.6.2 Predator-Prey (and other) dynamics as Agent Based Models

Agent-Based models are an expansion of the idea of “connected growers” that includes a spatial location of the things that is subject to change over time.

Have a look at some of the NETlogo demo’s:

### 3.6.3 The dynamic field model

Probably the most impressive modelling example in developmental psychology is the Dynamic Field Model for infant perservative reaching, also known as the *A-not-B error*:

The model makes some very interesting predictions that have been confirmed and it has been generalized to other phenomena and scientific disciplines as well

You can learn about it on the Dynamic Field Theory website centered around the book: