Yulia, 

I would recommend reading the attached resource related to the dimensions of modeling agents and tailor this to your research.  The Journal of Simulation may also have additional articles for the subject you seek to research. 

4.1. Agent model design

When developing an agent-based model, it is useful to ask a series of questions, the answers to which will lead to an initial model design. 

What specific problem should be solved by the model? What specific questions should the model answer? What value-added would agent-based modelling bring to the problem that other modelling approaches cannot bring?

What should the agents be in the model? Who are the decision makers in the system? What are the entities that have behaviours? What data on agents are simply descriptive (static attributes)? What agent attributes would be calculated endogenously by the model and updated in the agents (dynamic attributes)?

What is the agents’ environment? How do the agents interact with the environment? Is an agent's mobility through space an important consideration?

What agent behaviours are of interest? What decisions do the agents make? What behaviours are being acted upon? What actions are being taken by the agents?

How do the agents interact with each other? With the environment? How expansive or focused are agent interactions?

Where might the data come from, especially on agent behaviours, for such a model?

How might you validate the model, especially the agent behaviours?

These questions can assist you in answering your question and for the potential design of your own system.

Michele

This may not be exactly what you're looking for, but it's an interesting take on expectations: 

https://www.researchgate.net/journal/1746-4099_Communication_Research_Reports

http://www.tandfonline.com/doi/abs/10.1080/08824096.2014.924337

Thank you, Michele!