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 problems. This approach allows the possibility of analyzing data from a macro level to a micro level where the intermediate part is highlighted, all in an organized integration of a social simulation displayed on geographic information with natural language quantifiers. The resulting model represents a powerful alternative for complementing, substituting or augmenting traditional approaches in the social sciences. The study of interdisciplinary connections, of consilience, and of modeling several levels of reality jointly remains an area of research with vast fields of unexplored territory. The growing disciplines of Computational Social Science and Social Simulation should be trail blazers in this effort.
Research on society, culture, art, neuroscience, cognition, thinking, intelligence, creativity, autopoiesis, self-organization, rhizomes, complexity, systems, networks, thinkers ++
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