Seating densityModel type
The baseline model has two forms. In the complete information
case, the entire audience is visible to all agents
regardless of where they are seated. The propensity to stand is
\[
P_i^{(n)} = \sigma_i\left( {S^{(n-1)} \over M} \right) + (1-\sigma_i)q_i.
\]
In the incomplete information case, the quantity
\( S^{(n-1)} \over M \) is replaced by \( {S_i^{n-1} \over M_i} \), the
proportion of people standing within the field of vision of person \(i\).
In the inertia model, the more rounds have passed, the less likely
someone is to stand up (scaled by a factor \(e^{-\alpha t}\, \)).
In addition, the perceived proportion of standing agents is scaled by a factor
\(\beta \gt 0\), representing the degree of contagion in
the group.
\[
P_i^{(n)} = e^{-\alpha t} \left[ \sigma_i\left( {S^{(n-1)} \over M} \right)^\beta
+ (1-\sigma_i)q_i \right].
\]
In the endogenous model, the equation for the propensity to stand is the
same as in the baseline model case, except that \(\sigma\) is treated
as a function of the population state. That is,
\[
P_i^{(n)} = \sigma_i\left( {S^{(n-1)} \over M} \right) + (1-\sigma_i)q_i
\]
where
\[
\sigma_i\left( {S^{(n-1)} \over M} \right) =
\begin{cases}
1 & \text{if \(S^{(n-1)}/M \geq 1-q_i\)} \\
\epsilon & \text{otherwise}
\end{cases}
\]
Insert description of the symmetric model here.
DynamicsUpdate using\(\alpha\)-value\(\beta\)-value\(\epsilon\)-value\(q_i\) valueSocial sensitivity \(\sigma_i\)