In the groups of processes of distributed systems, it is necessary to make decisions based on agreements; these processes may operate in distributed teams; processes may require the use of shared resources in the form of mutual exclusion. The following question arises: what kind of decision models will be necessary to generate and incorporate the cognitive perspective to classical models, which transcend the traditional approach to the computer science? (They are considered as classical models for access to data structures shared in the form of mutual exclusion using critical regions from memory, the centralized algorithm, the Lamport distributed algorithm, improved by Ricart and Agrawala, token ring algorithm, and so on).

Resume El proyecto PI N° 91, aprobado por Res. N° 332/18 CS, se desarrolla con el fin de obtener información relevante que detecte variables relacionadas con los frecuentes problemas de salud en la ciudad de Presidencia Roque Sáenz Peña (Chaco, Argentina) y su área de influencia, relacionando los pacientes con su hábitat, ecología y salud. Para ello se trabaja con la información proveniente de las actividades curriculares de vinculación comunitaria que la carrera de Medicina de la UNCAus (Universidad Nacional del Chaco Austral) realiza en los distintos barrios de dicha ciudad y su zona de influencia; con dicha información se construye un almacén de datos (data warehouse) que es estudiado con técnicas de minería de datos (data mining), especialmente técnicas de agrupamiento (clusterización) y de árboles de decisión, a los efectos de conseguir los perfiles característicos relacionados con los distintos tipos de diagnósticos; en un principio se buscan modelos descriptivos de minería de datos, para pasar en el futuro a modelos predictivos, lo cual permitiría disponer de conocimiento que permitiría mejorar la toma de decisiones en cuanto a campañas de salud hacia la población

In distributed processing systems, especially when processes constitute collaborative groups, it is necessary that, when allocating resources to processes, decisions are made based on agreements regarding access to resources; decisions may be related to the performance of a certain activity that requires or not the synchronization of processes, requiring the use of shared resources in the mode of mutual exclusion. Thus, the following question arises: What are the decision models and aggregation operators that will have to be generated by incorporating the global cognitive perspective to the classical models to make more intelligent decision making in the management of resources and groups of processes taking into account self-regulation? How will the algorithms of the different decision models be implemented? How to validate the new proposed algorithms by comparing them with each other and with traditional algorithms? For this, it is necessary to have a simulator that implements the traditional and the new proposed algorithms and allows to observe their behavior and results under different types of workloads. Classical models are considered for accessing shared resources in the mutual exclusion mode using critical regions to the centralized algorithm, the distributed algorithm of Lamport, Ricart and Agrawala, the token ring algorithm, among others. A prototype simulator is presented to evaluate the performance of the proposed new decision models and aggregation operators against the main traditional models.

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