A first approach towards integrating computational argumentation in cognitive cities

CARLOS CHESNEVAR; MARIA PAULA GONZALEZ; ANA MAGUITMAN; ELSA ESTEVEZ

Atenas

Conferencia; Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance; 2021

University of the Aegean

In the last years, the concept of Cognitive Smart City (CSC) emerged from the convergence of the Internet of Things, big data, smart city technologies, and artificial intelligence techniques. At the same time, computational argumentation has consolidated itself as a vibrant area in Artificial Intelligence (AI) which has engineered different approaches to reflect aspects of how humans build, exchange and analyze arguments in their daily lives, mainly to deal with controversial or inconsistent information. Thus, computational argumentation provides a valuable metaphor for reasoning on top of available data in order to draw conclusions and offer explanations for them. This paper discusses a first approach towards integrating computational argumentation in a layered model for cognitive cities, where the bottom layers comprise raw data collected from sensor, actuators and other artifacts deployed in the context of a smart city, and argumentation provides high-level intelligence abilities. We show how our approach can be paired with a layered model for computational argumentation. To illustrate our proposal, we analyze a case study, based on the DECIDE 2.0 framework.