## 2 Materials and Methods
### Model Description
Tables 1-3 describe the state variables of the agents, places, and environment, respectively. The proposed model utilizes two-dimensional GIS polygons to represent the spatial layout. Consequently, agents interact within an environment resembling the reference campus's scale. This results in spatial dimensions having a nearly 1:1 relationship with real-life proportions. The simulated university encompasses an area of approximately \begin{table}
\begin{tabular}{l l} \hline \hline
**Variable Name** & **Brief Description** \\ \hline \multirow{3}{*}{Current location} & This variable represents the place the agent is currently located in. It is a reference to a place instance. Furthermore, this reference changes over time as the agent moves around campus. \\ \hline \multirow{3}{*}{Current compartment} & This variable represents the current epidemic state of the agent. An agent can be in only one of the following states: susceptible (S), exposed (E), infected (I), immune (R), or dead (D). Additionally, the current compartment is dynamic as the disease progresses according to estimated random processes. \\ \hline \multirow{3}{*}{Routine} & This variable is a list of scheduled activities the agent has to perform every single week. Indeed, both students and staffers have a different list of events. For example, both agent types lunch at noon, but students attend classes and staffers work. Specifically, weekly routines are assumed unchanged during the simulation. \\ \hline \multirow{3}{*}{Learning state-value pairs} & This variable is a list of state-value pairs that represent the learning mechanism of each agent. This list holds a numeric representation (in the \([-1,\ 0.5]\) range) for each facility’s perceived danger. In addition, this list changes as the agent visits new places and updates its perceptions. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Agent entities’ state variables. \begin{table}
\begin{tabular}{l l} \hline \hline
**Variable Name** & **Brief Description** \\ \hline \multirow{3}{*}{Current population} & This variable measures the total population count inside the place. As a consequence, this counter is dynamic as people follow their routines. Naturally, this variable is an integer in the range \([0,\ N]\), where \(N\) is the total population in the simulation. \\ \hline \multirow{3}{*}{Area} & This variable holds the area of the place. As a result, it is a constant assigned during the initialization phase. The area of a site is a real number in the range \((0,A)\), where \(A\) is a finite real number. \\ \hline \multirow{3}{*}{Population density} & This variable measures the population density inside the place. Because of this, it is dynamic as people walk around the campus. Also, the density is a real number in the range \((0,\ D)\), where \(D\) is a finite real number. \\ \hline \multirow{3}{*}{Infections count} & This variable measures the number of infections that happened inside the place. As a result, it is dynamic as people interact with each other, and the virus spreads on campus. Clearly, this counter is an integer in the \([0,\ N]\), where \(N\) is the total population in the simulation. \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Places’ state variables. 130,000 m\({}^{2}\), chosen to mirror the actual campus dimensions in Medellin, Colombia. In contrast, each time step corresponds to one hour, and the simulations run for a duration of 150 days. This temporal extent was chosen to provide ample time for simulating an epidemic that could potentially affect the entire campus population. A student's day schedule can be described as follows: The Students arrive at a campus entrance, update their current location, and then proceed to their next academic activity by taking the fastest route available. During this time, students inform each visited place to update the population density and count of people present. While participating in an event, students remain in the facility, and upon its conclusion, they decide on their next course of action.