  International migration implies the coexistence of different ethnic and
cultural groups in the receiving country. The refugee crisis of 2015 has
resulted in critical levels of opinion polarization on the question of whether
to welcome migrants, causing clashes in receiving countries. This scenario
emphasizes the need to better understand the dynamics of mutual adaptation
between locals and migrants, and the conditions that favor successful
integration. Agent-based simulations can help achieve this goal. In this work,
we introduce our model MigrAgent and our preliminary results. The model
synthesizes the dynamics of migration intake and post-migration adaptation. It
explores the different acculturation outcomes that can emerge from the mutual
adaptation of a migrant population and a local population depending on their
degree of tolerance. With parameter sweeping, we detect how different
acculturation strategies can coexist in a society and in different degrees
among various subgroups. The results show higher polarization effects between a
local population and a migrant population for fast intake conditions. When
migrant intake is slow, transitory conditions between acculturation outcomes
emerge for subgroups, e.g., from assimilation to integration for liberal
migrants and from marginalization to separation for conservative migrants.
Relative group sizes due to speed of intake cause counterintuitive scenarios,
such as the separation of liberal locals. We qualitatively compare the
processes of our model with the German portion sample of the survey Causes and
Consequences of Socio-Cultural Integration Processes among New Immigrants in
Europe (SCIP), finding preliminary confirmation of our assumptions and results.
