This research activity concerns the development of methodologies and
systems able to percept (image processing and computer vision), reason
on (knowledge representation, reasoning, machine learning) and act in
complex domains possibly interacting and cooperating with humans via
innovative modes (language, virtual and augmented reality, internet of
things).
Research in this area is focused on both theoretical and practical aspects of data modeling, with special emphasis on data representation and annotation (in narrative and drama), data visualization (geographical, geological, urban planning, etc.), natural language analysis and generation (lexico-syntactic, semantic and emotional), text mining and retrieval.
Research in this area must be focused on both theoretical aspects and future applications of computer vision with particular interest in virtual reality, 3D modeling and coding, biometric feature extraction, imaging for health-care and wellbeing and multimedia forensic.
Logics are one of the main instruments for modelling Multiagent systems. In particular, they allow to model formally the mental attitudes composing BDI agents. Collective mental attitudes like joint intentions and on the notion of normative multiagent systems are central in this area.
