The study of autonomous agents has a long history in the Multiagent System and the
Semantic Web communities, with applications ranging from automating business processes …

Studying the behavior of users in software systems has become an essential task for
software vendors who want to mitigate usability problems and identify automation potentials …

A process discovery algorithm aims to construct a model from data generated by historical
system executions such that the model describes the system well. Consequently, one …

A process discovery algorithm aims to construct a process model that represents the real-
world process stored in event data well; it is precise, generalizes the data correctly, and is …

Agent-based modeling is widely used for modeling and simulation of self-organizing
sociotechnical systems that are composed of distributed autonomous agents. In these …

Process discovery studies ways to use event data generated by business processes and
recorded by IT systems to construct models that describe the processes. Existing discovery …

In the field of simulation, the key objective of a system designer is to develop a model that
performs a specific task and accurately represents real-world systems or processes. A valid …

The main subject of the book is “agent-based business process simulation,” a topic that
brings together three different perspectives. First of all, the book is concerned with …

Process modeling and discovery techniques aim to construct sound and valid process
models for different types of processes, ie, process orchestrations and collaboration …

We suggest systems mining as the next step after process mining. Systems mining starts
with a more careful investigation of runs, and constructs a detailed model of behavior, more …