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Standard iterative SEIR models remove people from E and I by assuming an average rate, for example:-
In+1 = In - k1I + k2E
This can be replicated in an agent based model by assigning each person a length of time to stay in E and I based on an exponential random number generator, with the means being the inverse of k1 and k2.
Incidence in a standard iterative model is based on an assumption of homogeneous mixing and an average per capita contact rate. For example:-
Sn+1 = Sn - bSnIn
In this agent based model, an infectee has a radius of infection (r), a probability of infecting a susceptible (q) and susceptibles have a probability of becoming infected (p). The iterative model can be replicated by setting r=infinity, q=1 and p=b.
The people are moving about in this scenario but it is irrelevant because of the infinite radius of infection.
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