Analysis of Multi-Agent Interactions with Process Mining Techniques

Cabac, Lawrence; Knaak, Nicolas; Moldt, Daniel; Rölke, Heiko

doi:10.1007/11872283_2

Cited by 6 publications

(9 citation statements)

References 15 publications

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“…In [5] we have presented an interaction mining procedure that integrates and extends previous attempts from the literature [28,33]. The procedure consists of 6 subsequent steps, i.e., log segmentation, role detection, control-flow mining, peer generation, model enrichment, and visualization.…”

Section: A Mining Chain For Agent Interaction Analysismentioning

confidence: 97%

“…In our own previous work [5], we have embedded techniques for the reconstruction of interaction protocol models into our Petri net-based agent platform Mulan/Capa [13]. We have also described a conceptual framework for process mining in agent-oriented software engineering and simulation in [4,21].…”

Section: Related Workmentioning

confidence: 99%

“…4.2) to visually model process mining chains and integrate them with other parts of the software. One application is agent interaction analysis [5], where the mining chains process message logs observed during the execution of our multiagent applications. This data has to be provided to the mining chain and the reconstructed protocol models have to be returned to the environment.…”

Section: Net Components For Mining Chainsmentioning

confidence: 99%

“…An active research field is the application of process mining to software engineering. Current approaches focus on analyzing software development processes on the one hand [9,31] and the behavior of complex software artifacts such as Web services [12] or agents [5,42] on the other hand.…”

Section: Introductionmentioning

confidence: 99%

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Net Components for the Integration of Process Mining into Agent-Oriented Software Engineering

Cabac

Denz

2008

Transactions on Petri Nets and Other Models of Concurrency I

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Abstract. Process mining is increasingly used as an analysis technique to support the understanding of processes in software engineering. Due to the close relation to Petri nets as an underlying theory and representation technique, it can especially add to Petri net-based approaches. However, the complex analysis techniques are not straightforward to understand and handle for software developers with little data mining background. In this paper, we first discuss possibilities to integrate process mining into our Petri net-based agent-oriented software engineering approach. As the main contribution, we focus on enhancing its usability and introduce a technique and tool for visually modeling process mining algorithms with net components. These can be used to build new complex algorithms as a patch-work of existing procedures and new compositions. Furthermore, they allow for an easy integration with standard tools such as ProM.

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Section: A Mining Chain For Agent Interaction Analysismentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

Section: Net Components For Mining Chainsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Net Components for the Integration of Process Mining into Agent-Oriented Software Engineering

Cabac

Denz

2008

Transactions on Petri Nets and Other Models of Concurrency I

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“…analysis Mining-chains can be used to apply arbitrary analysis algorithms to the messages. Examples are given in [5]. visualization Apart from showing elementary statistics (total number of messages sent, .…”

Section: Mulan-sniffermentioning

confidence: 99%

A Monitoring Toolset for Paose

Cabac

Dörges

Rölke

2008

Applications and Theory of Petri Nets

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Paose (Petri net-based Agent-Oriented Software Engineering) combines the paradigm of AOSE (Agent-Oriented Software Engineering, see [10]) with the expressive power of Petri nets -reference nets [12] to be more precise. While AOSE is a powerful approach when it comes to designing and developing distributed (agent) applications, it does not address the problems specific to debugging, monitoring, and testing of these applications, i.e. no global state of the system and very dynamic operating conditions. To tackle these problems, two tools have been developed in the context of Paose, which are presented in this work. Firstly, this paper will give a short overview over the interrelated set of tools, which exists already and supports Petri net-based AOSE. The tools are centered around the Petri net-based multi-agent system development and runtime environment Renew / Mulan / Capa. Secondly, Mulan-Viewer and Mulan-Sniffer will be presented in more detail -two tools to address the issues encountered during debugging, monitoring, and testing agent applications. Both tools are first class members of the aforementioned family. The first tool, Mulan-Viewer, deals with the introspection of agents and agent behaviors, while it also offers rudimentary features for controlling the agent-system. The Mulan-Sniffer as the second tool places emphasis on tracing, visualizing, and analyzing communication between all parts of the multi-agent application and offers interfaces for more advanced methods of analysis, such as process mining. Both Mulan-Viewer and Mulan-Sniffer are realized as Renew plugins that can also be extended by other plugins.

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