A knowledge-intensive adaptive business process management framework

Kır, Hüseyin; Erdoğan, Nadia

doi:10.1016/j.is.2020.101639

Cited by 42 publications

(26 citation statements)

References 22 publications

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“…Direct ASM benefits can be realized by automating ASM activities applied in the context of agent-based business process management frameworks. Examples of such frameworks are agent-based BPM frameworks and approaches such as Subject-oriented Business Process Management (S-BPM) [31], Multi-Agent Business Process Modeling No-tation Decision Footprint (MABPMNDF) [32], and the Knowledge Intensive Adaptive Business Process Management Framework (agileBPM) [33]. Next, we discuss example indirect ASM benefits.…”

Section: Asm Benefitsmentioning

confidence: 99%

“…Some application domains are characterized by increased levels of business process agility and dynamism. Knowledge-intensive [33] and operational risk management processes [14] are examples of such processes exhibiting a high level of flexibility through nonlinear, changing interactions among learning and adaptive participants. A suitable approach for modeling flexible business processes is encoding them as adaptive socio-technical systems [13], and ASM can support such interpretation of business processes through self-organizing MASs.…”

Section: Asm Benefitsmentioning

confidence: 99%

“…Subject-oriented Business Process Management (S-BPM) represents a process as a network of distributed and independent agents exchanging messages to coordinate work [47]. The agileBPM framework defines a modeling methodology to express business interest, environment, and processes according to the agent-based paradigm [33]. Hunka and van Kervel discuss how Design Engineering Methodology for Organization (DEMO) can strengthen the theoretical foundations of the Resource-Event-Agent (REA) ontology to create more precise descriptions of an organization [48].…”

Section: ) Abm In Bpmmentioning

confidence: 99%

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Agent System Mining: Vision, Benefits, and Challenges

2021

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In the Agent-Based Modeling (ABM) paradigm, an organization is a Multi-Agent System (MAS) composed of autonomous agents inducing business processes. Process Mining automates the creation, update, and analysis of explicit business process models based on event data. Process Mining techniques make simplifying assumptions about the processes discovered from data. However, actual business processes are often more complex than those restricted by Process Mining assumptions. Several Process Mining approaches relax these standard assumptions by discovering more realistic process models. These approaches can discover more realistic process models. However, these models are often difficult to visualize and, consequently, to understand. Many MASs induce processes whose behaviors become more complex with each next embraced time step, while the complexities of these MASs remain constant. Thus, the ABM paradigm can cope naturally with the increasing complexity of the discovered process models. This paper proposes Agent System Mining (ASM) and ASM Framework. ASM combines Process Mining and ABM in the Business Process Management (BPM) context to infer MAS models of operational business processes from real-world event data, while ASM Framework maps ASM activities to different phases of the MAS modeling lifecycle. The paper also discusses the benefits of using ASM and outlines challenges associated with the implementation of the ASM Framework.

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Section: Asm Benefitsmentioning

confidence: 99%

Section: Asm Benefitsmentioning

confidence: 99%

Section: ) Abm In Bpmmentioning

confidence: 99%

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Agent System Mining: Vision, Benefits, and Challenges

2021

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“…However, researchers such as Paurobally et al [70] have argued on other pros and cons of statecharts. Based mostly on that work, we present some of the statecharts advantages (+) and disadvantages (−) over other techniques: + States and processes can be treated equally allowing an agent to refer and reason about the state of an interaction + Statechart notation is more amendable for extension thanks to their simple semantics + Visual models are easier to conceive and display [26] + Engineers familiar with UML can start working with them immediately [72] − Participating roles are not shown explicitly − Compound transitions are not shown in detail − There is a question of completeness It is beyond the scope of this work to present all other techniques, however we can name a few that employ a visual language, such as Agent UML (or AUML) [41], Petri Nets [52], or the Business Process Modeling Notation (BPMN) [21,46]. In BPMN, the interaction of two or more participant roles is called a choreography.…”

Section: Related Workmentioning

confidence: 99%

Engineering Multi-agent Systems with Statecharts

Spanoudakis

2021

SN COMPUT. SCI.

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The purpose of this paper is to map the works in the Agent Oriented Software Engineering and Engineering Multi-agent Systems fields that use the statecharts paradigm to aid the software development process. We did not only focus on finding out the methods that employ statecharts, but also on identifying the application domains suitable for this kind of modeling. To achieve this goal we researched the available literature. We found out that statecharts are used by numerous methods that target diverse application domains such as robotics, internet agents, simulation, health and safety. Moreover, statecharts have been employed for modeling different things, such as the behaviour of agents, agent plans, agent interaction protocols. We also found reports of real-world systems and applications that were developed using these methods in the last 20 years and we identified trends and common characteristics that they have. Concluding, we have mapped the area where statecharts meet agent-oriented methodologies both in theory and practice. Moreover, we provide some exciting directions for future works.

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“…However, this cannot be achieved only through classical planning techniques and it is necessary to develop new approaches that cover various aspects of the business environment, including the conditions of uncertainty in strategic planning. That is why contemporary business process systems need new methods for thinking about intelligent processes in ways that build on the concepts of collaboration, addictiveness, and awareness [27].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Group Decision-Making Approach Considering Uncertainty Conditions

Borissova

Dimitrova

2021

Bus. Inf. Sys.

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The management of business information processes needs effective decision-making models. That means to involve different methods, techniques, and principles to improve competitiveness and to achieve the planned business results. In this context, the article deals with the problem of group decision-making under uncertain conditions. To cope with such problems some well-known optimization strategies of Wald, Laplace, Hurwitz, and Savage are modified to take into account the experts’ opinions with different importance when forming the final group decision. Numerical testing is based on a case study for CRM software selection. The results are discussed based on the proposed models under two different cases derived from the case study. The conducted numerical testing of the proposed models demonstrates their applicability to cope simultaneously with multiple experts’ evaluations and uncertainty conditions.

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A knowledge-intensive adaptive business process management framework

Cited by 42 publications

References 22 publications

Agent System Mining: Vision, Benefits, and Challenges

Agent System Mining: Vision, Benefits, and Challenges

Engineering Multi-agent Systems with Statecharts

An Integrated Group Decision-Making Approach Considering Uncertainty Conditions

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