What Software Engineering Has to Offer to Agent-Based Social Simulation

Siebers, Peer-Olaf; Klügl, Franziska

doi:10.1007/978-3-319-66948-9_6

Cited by 10 publications

(7 citation statements)

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“…Nonetheless, the outcomes from ABSS remain modest to date and have contributed little outside the academy (Lucas, 2009), despite the growing number of stakeholders and policymakers who are calling for more effective and practical guidance from social simulation. This further highlights several software development challenges that constrain ABSS’s ability to deliver on its promises (Siebers & Klügl, 2017).…”

Section: Introductionmentioning

confidence: 94%

Agile and Value Creation in Agent-Based Social Simulation

Navarro-Meneses

2020

Journal of Creating Value

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Agile software development is having a profound impact on the software industry. Agent-Based Social Simulation (ABSS) has led a paradigm shift in the way social scientists understand and manipulate complex systems. However, little is known about the relationship between the two and how they can create meaningful synergies. A review of the evidence available on the connection agile-ABSS was conducted. The review investigates what is currently known about agile adoption by ABSS and the value and limitations that can be derived from the connection. The main implication for researchers is the need to implement agile methods in a greater number of ABSS projects, on which to support further research and experimentation. For practitioners, the review raises awareness on the topic and reveals that there is a long road ahead of challenges and opportunities for those willing to unlock value from ABSS. For both, it would be highly beneficial if they joined forces and agreed on a common research agenda.

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Section: Introductionmentioning

confidence: 94%

Agile and Value Creation in Agent-Based Social Simulation

Navarro-Meneses

2020

Journal of Creating Value

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“…The EABSS framework is designed to support single and multidisciplinary model development and documentation of human-centric and human-natural systems (full details can be found in Siebers and Klügl, 2017). It is grounded on the concept of co-creation (Mitleton-Kelly, 2003) and ideas from software engineering.…”

Section: A Community Modelling Experiments With Philolabmentioning

confidence: 99%

“…The engineering agent-based social simulation framework and its outputs (adapted from Siebers and Klügl, 2017)…”

Section: Figurementioning

confidence: 99%

On the quest for defining organisational plasticity: a community modelling experiment

Siebers

Herath

Bardone

et al. 2020

EBHRM

Self Cite

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PurposeThis viewpoint article is concerned with an attempt to advance organisational plasticity (OP) modelling concepts by using a novel community modelling framework (PhiloLab) from the social simulation community to drive the process of idea generation. In addition, the authors want to feed back their experience with PhiloLab as they believe that this way of idea generation could also be of interest to the wider evidence-based human resource management (EBHRM) community.Design/methodology/approachThe authors used some workshop sessions to brainstorm new conceptual ideas in a structured and efficient way with a multidisciplinary group of 14 (mainly academic) participants using PhiloLab. This is a tool from the social simulation community, which stimulates and formally supports discussions about philosophical questions of future societal models by means of developing conceptual agent-based simulation models. This was followed by an analysis of the qualitative data gathered during the PhiloLab sessions, feeding into the definition of a set of primary axioms of a plastic organisation.FindingsThe PhiloLab experiment helped with defining a set of primary axioms of a plastic organisation, which are presented in this viewpoint article. The results indicated that the problem was rather complex, but it also showed good potential for an agent-based simulation model to tackle some of the key issues related to OP. The experiment also showed that PhiloLab was very useful in terms of knowledge and idea gathering.Originality/valueThrough information gathering and open debates on how to create an agent-based simulation model of a plastic organisation, the authors could identify some of the characteristics of OP and start structuring some of the parameters for a computational simulation. With the outcome of the PhiloLab experiment, the authors are paving the way towards future exploratory computational simulation studies of OP.

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“…The individual agents then interact with each other and their environment to produce complex collective behaviour patterns, which in turn allows us to make conclusions based on the system's emergent properties (Bonabeau 2002). For more details on the above-mentioned framework, please refer to Siebers & Klügl (2017).…”

Section: Interdisciplinary Group Formationmentioning

confidence: 99%

“…We comment on how this process positively influenced and still influences our general research capabilities and talk about the challenges we had, in relation to achieving principles of interdisciplinary working and thinking. We draw on our experience of working together to explore how an agent-based modelling framework that was originally developed by two computer scientists (Siebers & Klügl 2017) for modelling human centric and human-natural systems in the field of Social Simulation could be used in a healthcare context. This paper illustrates an exercise of reflective practice and our experience when applying the agent-based modelling framework in a workshop aiming to generate an understanding of the role of ethics in the area of digital mental health.…”

Section: Introductionmentioning

confidence: 99%