Planspiel-Literaturdatenbank des ZMS

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  • 2018

  • Klabbers, Jan (2018): On the Architecture of Game Science. In: Simulation & Gaming (Vol. 49 (3)), S. 207-245. DOI: 10.1177/1046878118762534

    DOI: https://doi.org/10.1177/1046878118762534 

    Abstract: Background. Game studies show a high diversity of university departments that contribute to the field. They offer a cross-disciplinary image that includes a range of professions. Game science is responsive to the needs of government institutions, to industry, and to individuals vis-à-vis institutions. That pragmatism makes the field issue-oriented, representing a post-normal science approach in a context of political pressure, values in dispute, high decision stakes and high epistemological and ethical systems uncertainties. The body of knowledge is not yet in the form of a cohesive structure: a game science paradigm. Thematic diversity, theoretical and methodological pluralism, and a strong focus on the instrumentality of games are weak credentials within academia, arranged according to analytical science (normal science) principles. Moreover, within the conventional academic settings, game science faces serious limitations, due to the fragmented positioning in different departments and faculties (Klabbers, 2009). Aim. A comprehensive and coherent view on game science is needed that connects three levels of inquiry: the philosophy of science level, the science level, and the application level. Advances in physics have impacted on the philosophy of science, on modernism and postmodernism, and as a consequence, on game science. Being able to understand the current position of game science requires that we are aware of its scientific roots, and future options for research and professional practice. Method. Literature review with emphasis on theories of knowledge (epistemology) that focuses on game architecture, and the player’s experience. The analytical science approach to game science is insufficient to deal adequately with key questions societies nowadays are facing. Therefore, in addition to the analytical science, the design science approach to gaming is needed to be able to address issues that apply to various zones of practice, and related questions about social problem solving. Results. A coordinating frame-of-reference – a game science paradigm – is presented, independent of the instrumentality of games - taking into account the great variety of forms of play, and gaming applications. Conclusion. To advance game science, well-equipped game centers are needed that cover the three levels of inquiry: the philosophy of science level, the science level, and the application level. They should pursue a long term coherent research and educational policy, in line with the natural sciences tradition, offering both continuity and innovation.

  • Lukosch, Heide; Lukosch, Stephan G.; Bekebrede, Geertje; Kurapati, Shalini (2018): A Scientific Foundation of Simulation Games for the Analysis and Design of Complex Systems. In: Simulation & Gaming (Vol. 49 (3)), S. 279-314. DOI: 10.1177/1046878118768858

    DOI: https://doi.org/10.1177/1046878118768858 

    Abstract: Background. The use of simulation games for complex systems analysis and design has been acknowledged about 50 years ago. However, articles do not combine all salient factors for successful simulation games, and often stem from a clear view of one particular field of science only. With combining multiple disciplines, connect analysis and design as well as research and practice, we provide deep insights in design and use of simulation games. Aim. This article analyzes the design and evaluation process of a variety of game-based projects and activities, using existing scientific concepts and approaches, in order to establish games as a valid research tool. Our focus lies on the approach towards the use of games as design instrument; using them as an intervention in a larger, complex context, in order to design this context. With our contribution, we aim at providing insights and recommendations on the design and use of games as valid research tools, the limitations of this use, possible pitfalls, but also best practices. Method. We carried out a literature review of related work to identify the most important scientific concepts related to our approach of game design. Further use of combined quantitative and qualitative case study analyses highlights the design process and results of our own game studies. Results. The analyses yielded a consolidated conceptualization of simulation games as research instruments in complex systems analysis and design. The results also include methods for the evaluation of simulation games, additional evaluation methods, and limitations to use simulation games as research instruments. Conclusions. We propose guidelines for using simulation games as research instruments that may be of value to practitioners and scientists alike. Recommendation. We recommend practitioners and scientists to apply the guidelines presented here in their efforts to analyze and design complex systems.

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