CONICET | Buscador de Institutos y Recursos Humanos

Advances in information technology make it easier to accurately generate and process data about what happens in a complex domain. The applications that operate in these environments are characterized by the reception of large amounts of data in a short time,high rates of change, uncertainty, and incompleteness; those source of data-which cannot be stored and processed later-are called "streams". In this work, we present a proposal for carrying out stream reasoning via argumentative systems, by means of a novel combination of (i) complex events and stream processing techniques,(ii) structured argumentation tools, (iii) probabilistic reasoning, and(iv) belief revision operators.