A First Approach Towards Integrating Computational Argumentation in Cognitive Cities

ANA MAGUITMAN; CARLOS I. CHESÑEVAR; ELSA ESTEVEZ; MARÍA PAULA GONZALEZ

Atenas

Conferencia; ICEGOV 2020 - International Conference on Theory and Practice of Electronic Governance; 2020

United Nations University

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 AI which has engineered different approaches to reflect aspects of how humans build, exchange and analyze arguments in their daily live (mainly to deal with controversial or inconsistent information). Thus, argumentation provides a valuable metaphor for reasoning on top of available data in order to make conclusions and providing explanations for them. This paper discusses a first approach towards integrating computational argumentation in a layered model for cognitive cities, where the bottom layers provide sensor information, and argumentation provides high-level intelligence abilities. We show how our approach can be paired with a layered model for computational argumentation. We provide a case study (the DECIDE 2.0 framework) in the context of our proposal.