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This preliminary work proposes the use of a multi-level Multi-Agent System (MAS) to analyze realistic human social interaction. One of the most relevant innovations of the proposed research would focus on the simultaneous modelling of more than one level of agency, with a MAS conformed of agents that are in turn made of agents. We plan to apply this(More)
Social Simulation allows us to experiment in the social arena while avoiding unnecessary expenses and potential threats; a clear example of this is reflected in the simulation of urban growth, particularly if done without losing sight of the sustainable development necessary for maintaining the overall equilibrium of a city. This article provides a hybrid(More)
There are many ways to model a complex social system such as the level of poverty of an entity and many ways to measure poverty in an entity given the variety of definitions available. This work has as its main objective to apply the distributed agency methodology, which consists of several techniques used in computer science, to solve complex social(More)
One of the many advantages of Social Simulation is that it helps to experience a social problem while avoiding unnecessary costs and possible dangers. A good example is the use of simulation in the urban growth of a city. Today there are applications where the simulators are applied with different tools and growth models. This article offers a methodology(More)
The basic premise of this proposed article is that agency is an evolved trait. Agency in nature exists to the degree that organisms can act independently from their environment, and is here considered to be the result of an evolutionary process that takes places hierarchically and in multiple dimensions. The article proposes further discussion on the need(More)