Meeting no. 39 will take place at FEUP, room L202A, on Friday, June 13th, 2025, at 11:00 a.m. The topic of the session will be BBAX: A Modular Blackboard-Based Explainable AI System for Adaptive and Transparent Decision-Making in Urban Transport and will be presented by Soraia Felício. The session will be chaired by Joana Hora.

Abstract: This study presents BBAX, a modular system combining Blackboard Architecture (BBA) with Explainable AI (XAI) to support intelligent decision-making in urban transport. Tested through scenario-based simulations at Ermesinde Station in Portugal, BBAX adapts to environmental disruptions while providing transparent explanations. Results show effective scheduling adjustments and system robustness, suggesting its potential for real-world applications in smart mobility and other complex domains.

Soraia Felício is a seasoned software engineer and data scientist with over 25 years of experience in software development. Currently, she is pursuing a Ph.D. in Informatic Engineering at the University of Porto, focusing on knowledge-based systems, machine learning, and data mining. Soraia is part of the ATE – Alliance for the Energy Transition, a national initiative that promotes innovation and resilience in Portugal’s energy sector. She has also contributed to the SafeCities project, a collaboration between Bosch and the University of Porto, and previously participated in some academic research projects in Brazil.