Multiagent Framework for Lean Manufacturing
IEEE Internet Computing
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Towards Adaptive Workflow Enactment Using Multiagent Systems
Information Technology and Management
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
The Research on the Usage of Business Process Mining in the Implementation of BPR
NPC '07 Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing Workshops
A Process Mining Approach to Redesign Business Processes - A Case Study in Gas Industry
SYNASC '07 Proceedings of the Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management
Expert Systems with Applications: An International Journal
The need for a process mining evaluation framework in research and practice: position paper
BPM'07 Proceedings of the 2007 international conference on Business process management
Detecting implicit dependencies between tasks from event logs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Agent-based modeling of supply chains for distributed scheduling
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Surrogate object based data mining for distributed mobile systems
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
| Hi-index | 12.05 |
During the developing phase of a multi-agent system (MAS), it is necessary to simulate the system feasibility before the formal implementation. Petri-net (PN) is the most popular tool used in MAS system simulation. However, most of the PN models were developed according to the investigation of the MAS behaviors. There lacked a bridge to directly link MAS development tool and the PN simulator. This research proposed a PN integration approach to support multi-agent process mining. A process mining technique (@a algorithm) would be used to investigate the log file generated by each agent system and then to create the PN based process models. In the next stage, an approach was proposed to integrate the PN of each agent. This method would construct the incoming and outgoing places of each agent's PN according to inter-agent communication behaviors showed in the logs. These incoming and outgoing places would be merged into communication places representing the inter-relationship between agent's PN models. Finally, the multi-agent PN model would be simulated and the results showed that the agent interaction behaviors are consistent with the information shown in their log files.