The core idea is that many (if not most) phenomena in the world can be effectively modeled with agents, an environment and a description of agent-agent and agent-environment interactions. An agent is an autonomous individual or object with particular properties, actions and possibly goals. The environment is the landscape on which agents interact and can be geometric, network-based, or drawn from real data. Interaction affects the internal states of agents, their actions and the environment.
The goal of the module is to introduce the making of agent-based simulation models, comparing NetLogo and SLAPP.
Instructor: prof. Pietro Terna and Matteo Morini