Modeling Objectives of Knowledge Workers

Traditionally, business process models are imperative, limiting process behavior to a small set of variants. Purely imperative modeling languages are therefore unsuited for knowledge-intensive processes, which differ from case to case and are driven by knowledge workers. For this reason, declarative, data-centric, and hybrid approaches have been developed. However, in existing approaches, knowledge workers receive little support for late-goal modeling and subsequent planning of their actions. To address this issue, we present a model-driven approach that allows knowledge workers to specify objectives. Objectives are first order logic statements about a desired future execution state of a model's case, regarding data and activities. Those logic expressions are a prerequisite for automated planning.