PACT: an experiment in integrating concurrent engineering systems
Readings in agents
Inter-organizational workflows for enterprise coordination
Coordination of Internet agents
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Dynamic organization of multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Process Miner - A Tool for Mining Process Schemes from Event-Based Data
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Protocol Moderators as Active Middle-Agents in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Interaction pattern detection in process oriented information systems
Data & Knowledge Engineering
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Incremental workflow mining based on document versioning information
SPW'05 Proceedings of the 2005 international conference on Unifying the Software Process Spectrum
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Workflow mining consists in analyzing the execution traces of a collaborative system in order to create a workflow. Most of the works in this area focus on the process discovery from log files, while very few of them address the organization aspect. On the other hand, the Agent technology, suitable for the design and development of cooperative systems, offers interaction languages and high-level protocols allowing the representation of fine-grained organizational structures (hierarchy, federation, coalition, market, among others). In this paper, we show how to enrich log files in order to integrate conversations among the actors of processes using a performative-based agent communication language (FIPA-ACL). This enrichment allows us to define algorithms to discover protocols and organizational structures. The organizational structures are represented by graphs where the nodes are the actors and the arcs relations among them (delegation, cooperation, information exchange, and so on). The interaction protocols (auction, contract net) are described by Petri nets. We provide some discovery algorithms as well as a brief description of a Java implementation coupled with a visualization tool called AGNA.