Logical failures occurring during workflow execution require the dynamic
adaptation of affected workflows. The consequences such a dynamic adaptation may
have for collaborating workflows have not yet been investigated sufficiently. We
propose a rule-based approach for dynamic workflow adaptation to deal with logical
failures. In our approach, workflow collaboration is based on agreements specifying
the delivery time and quality of objects a workflow expects from its collaboration
partners. Our mechanisms decide which collaborating workflows have to be informed
when a dynamic adaptation is performed. In particular, we estimate the temporal
and qualitative implications a dynamic adaptation has for collaboration partners.
Because of the automated handling of logical failures, we expect that our approach
significantly improves the robustness and correctness of collaborating
workflows. The approach has been developed in the context of collaborative workflow-
based care for cancer patients.