Process Management Systems (PMSs) can be used not only in classical business scenarios, but also in highly dynamic and uncertain environments, for example, in supporting operators during Emergency Management for coordinating their activities. In such challenging situations, processes should be adapted in order to cope with anomalous situations, including connection anomalies and task faults. This requires the provision of intelligent support for the planning and enactment of complex processes, that allows to capture the knowledge about the dynamic context of a process. In this paper, we show how this knowledge, together with information about the capabilities of the available actors, may be specified and used to not only to support the selection of an appropriate set of agents to fill the roles in a given task, but also to solve the problem of adaptivity. The paper describes a first prototype of a PMS based on well-known Artificial Intelligence Techniques and how it can be extended to tackle adaptation.
|Title of host publication||Proceedings of the 17th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE 2008, Rome, Italy, June 23-25, 2008)|
|Publisher||IEEE Computer Society|
|Publication status||Published - 2008|