  A correspondence between database tuples as causes for query answers in
databases and tuple-based repairs of inconsistent databases with respect to
denial constraints has already been established. In this work, answer-set
programs that specify repairs of databases are used as a basis for solving
computational and reasoning problems about causes. Here, causes are also
introduced at the attribute level by appealing to a both null-based and
attribute-based repair semantics. The corresponding repair programs are
presented, and they are used as a basis for computation and reasoning about
attribute-level causes. They are extended to deal with the case of causality
under integrity constraints.

Databases;Artificial Intelligence;Logic in Computer Science