Herrera-Restrepo, Oscar A.

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    A multiagent framework for the co-evolution of social service delivery networks and population dynamics
    (2011) Herrera-Restrepo, Oscar A.; Medina-Borja, Alexandra; College of Engineering; Rodriguez, Betzabe; Colón, Marta; Department of Industrial Engineering; Vega, Jose I.
    A multiagent system for simulating the co-evolution of social service delivery networks is presented. In the first part, 63 potential variables were analyzed to identify significant predictors in the construction of behavior rules for each agent. An agent in the model represents one chapter or field unit of the network. These rules were focused on four (4) key responses. Thirteen (13) significant predictors were found through CHAID data mining techniques. Predictors demonstrated that chapter survival over time is mainly affected by financial, demographic, and service variables. Agent behavior rules were established based on CHAID results. These rules of behavior summarize a set of simple conditions to achieve certain states. Despite this simplicity, the emergent behavior of the model reproduces most of the co-evolutionary patterns of the case study site. An experimentation process was performed and the results confirmed the significant effects of factors such as: network configuration, market demographic characteristics (i.e. rate of migration, racial concentrations and median household income) over responses such as number of services, total donations, percentage of active chapters (i.e. in operation), and proportion of volunteers who remain in the network over time.