The members of the ADRIA team have developed over the past three decades a widely recognized expertise in the formalization of different forms of reasoning. Their main contributions focused on:
- the approximate reasoning with fuzzy rules,
- reasoning under uncertainty
- non-monotonous reasoning with rules with exceptions, in the presence of incomplete information.
- revision of beliefs when new information arrives
- reasoning from inconsistent information
- case-based reasoning
- the reasoning based on similarity, or analogical proportions
- information fusion
- bipolar representations and opposition structures
- the representation of causality
Recent and ongoing work has focused on the last five topics mentioned above as well as database applications. Since the work on fusion essentially uses different frameworks for the representation of UNCERTAINTY, they appear on the corresponding page, as do research on the representation of knowledge concerning the generalized possibilistic logic and other non-classical logics.