"Collaborative Multi-Agent Systems based on Organizations Applied to the Adaptive and Emerging Development of Organizational Structures in Self-Determinant Human Systems"
Dr. Facundo Bromberg
In recent decades, the greatest advances in organizational methodologies have come hand in hand with the Internet and the Information Communication Technologies (ICTs), with contributions for organizations. Despite the enormous disruptive impact of ICTs and the Internet, little has affected the organizational structures. In general, these are still static proposals with typically pyramidal structures. In recent years, new disruptive technologies have emerged that present an unprecedented opportunity for innovation in organizational methodologies: blockchains, algorithms for resolving collaborative multi-agent systems centered on organizations and adaptive and self-determining governance methodologies. All together, they present the potential to forge a productive ecosystem with unprecedented innovation capabilities, based on the idea that a productive ecosystem self-organizing adaptively from the feedback of the environment would allow the emergence of a collective intelligence capable of addressing solutions of complexity not seen to date. The collaborative intelligence will allow discovering new ways to take advantage of it and attend to innovative solutions. Thus, despite all these scientific and technological disruptive contributions, no studies have been found regarding adaptive and self-determinant organizational methodologies assisted by computer platforms based on multi-agent system algorithms. Therefore, our research has as main objective to facilitate the adaptive and emergent development of organizational structures of self-determinant human productive ecosystems, thus promoting the increase of collaboration and their innovative potential. To carry out this study, we propose the design of socio-technological devices in the form of distributed computing applications that adapt algorithms of resolution of multi-agent computational systems centered on organizations for the case of human-machine hybrid agents. The research methodology will follow the basic guidelines of any method of empirical scientific-technical development and will require two clearly distinguishable methodologies: modeling and simulation of multi-agent systems. The experimentation consists of implementing these algorithms in general purpose languages and executing them for different input data, which we call simulations, corroborating that the expected results are obtained by the hypothesis.