SIPTA
Summer School 2022 on Imprecise Probabilities (August 15-19 2022, Univ. of Bristol, UK).
SeeArtificial Intelligence
I work within the broad area of artificial intelligence, mostly with machine learning and knowledge representation. For my current work you can take a look at the Center for Artificial Intelligence, where most of my activities take place.
Knowledge Representation and Machine Learning
I have been working recently on the interplay between knowledge representation and machine learning. I have been particularly interested in question answering systems, in physics-informed machine learning, in the interpretability of artificial intelligence devices, and in their social impact.
Probabilistic Reasoning
I have worked with probabilistic reasoning, both with machine learning techniques and with the representation of facts, rules and beliefs. I have investigated languages that specify knowledge and beliefs, often inspired by Bayesian networks; for instance, relational Bayesian networks and probabilistic logic programs. I have studied their complexity and expressivity, and developed algorithms for inference and learning with them. Years ago I coded the JavaBayes package for Bayesian networks, and was involved in the Interchange Format for Bayesian networks.
Theory Probabilities
I have worked with various alternatives to the theory of probabilities, for instance dealing with full conditional probabilities or credal sets (sets of probabilities). You can take a look at the web site of the Society for Imprecise Probability Theory and Applications (SIPTA); I'm a founding member of this society and I was the society's president for a while. I have examined concepts of independence and decision making strategies; developed graph-based models usually called credal networks; developed algorithms that compute lower and upper expectations; and studied some issues related to learning. Another interest is probabilistic satisfiability where propositional sentences are mixed with probabilities, thus specifying sets of probability measures.
Robotics, Computer Vision, etc
Apart from these issues, I have worked in a variety of applications, mostly within Artificial Intelligence and a bit within Robotics and Computer Vision; in the past I have been particularly involved with mobile robots and their sensors.
