Statistical Relational Artificial Intelligence (StarAI) aims at integrating logical (or relational) AI with probabilistic (or statistical) AI (De Raedt et al., 2016; Riguzzi, 2018). Relational AI achieved impressive results in structured machine learning and data mining, especially in bio- and chemo-informatics. Statistical AI is based on probabilistic (graphical) models that enable efficient reasoning and learning, and that have been applied to a wide variety of fields such as diagnosis, network communication, computational biology, computer vision, and robotics. Ultimately, StarAI may provide good starting points for developing Systems AI—the computational and mathematical modeling of complex AI systems—and in turn an engineering discipline for Artificial Intelligence and Machine Learning.
This Research Topic “Statistical Relational Artificial Intelligence” aims at presenting an overview of the latest approaches in StarAI. This topic was followed by a summer school1held in 2018 in Ferrara, Italy, as part of the series of Advanced Courses on AI (ACAI) promoted by the European Association for Artificial Intelligence.
Front. Robot. AI, 30 July 2019 |
Editorial: Statistical Relational Artificial Intelligence
Fabrizio Riguzzi, Kristian Kersting, Marco Lippi and Sriraam Natarajan