2013 - Simulating the Diffusion of Innovation Process a Multi Agent Approach.pdf (414.22 kB)
Simulating the Diffusion of Innovation Process a Multi Agent Approach
conference contribution
posted on 2021-10-18, 12:24 authored by Emerson Noronha, Terry Lima RuasTerry Lima Ruas, Maria das Graças Bruno Marietto, Margarethe Steinberger-Elias, Wagner Tanaka Botelho, Robson dos Santos França, Camila SoaresMulti-agent based simulations provide tools and
techniques to observe and analyze the emergent
behavior that happens due to the interactions among
agents. These agents could represent the actors in a real
situation, or they could be used to test or to verify
hypothesis, theories and to perform experiments in a
controlled environment (e.g. virtual world). It is useful
in certain cases, for instance when the event and its
inner workings are hard to observe, which is common in
social simulations. The diffusion of innovation theory,
presented by Everett Rogers, provides a classification of
the individuals in a social system related to how long an
innovation takes to spread into the system. Also, it
describes how people form clusters based on the
homophily concept. This paper brings two hypotheses
for the diffusion of innovation and puts them into test
by a multi-agent based simulation, running in the
Swarm multi-agent based framework. Rogers’ theory,
as well as multi-agent based simulations, is briefly
presented so they become a background for the
presented model. Also, the simulation and its results are
shown. Finally, conclusions and future works are
discussed.
