At the Boundary of Workflow and AI

Abstract

Many domains of interest to the workflow commu-nity are characterized by ever-changing requirements and unpredictable environments. Workflow systems must increase in sophistication to provide the reactivity and flexibility necessary for process management un-der such dynamic conditions. This paper describes how techniques from the AI community, specifically reactive control, planning, and scheduling, could be leveraged to develop powerful, next-generation adaptive workflow engines that provide many of the these advanced pro-cess management capabilities. Although motivated by somewhat different concerns and grounded in differ-ent perspectives, there is much overlap between the ob-jectives and requirements of these two communities of workflow management and Artificial Intelligence. Two systems under development by the authors which em-brace this synergy are described.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 22 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.