The assessment and understanding of fragmented and vague information has become an increasingly pressing issue in social deliberations, as dramatically demonstrated during the COVID-19 pandemic.
Rational agents and decision-makers must navigate inconsistent and partial information while striving to organise it coherently, and shared information in communication requires agents to continually update their beliefs. Logical methods provide a natural toolkit for formally analysing these complex phenomena.
The workshop “Reasoning with Imperfect Information in Social Settings”, organised by Scuola Normale Superiore, aims at bringing together researchers in logic, formal and social epistemology and computer science, who are exploring the intricacies of information dynamics in social scenarios.
Relevant topics include:

• Belief revision and merging;
• Judgement and preference aggregation;
• Multi-agent non-monotonic reasoning;
• Multi-agent epistemic and deontic logic;
• Formal methods for representing social epistemic attitudes.