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On the Architecture of Game Science

Published: 01 June 2018 Publication History

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.

References

[1]
Klabbers J. H. G. 2001. Guest Editor of the Special issue of the Journal Simulation & Gaming. Theme: The State of the Art and Science in Gaming and Simulation. Simulation & Gaming, Volume 32 Issue 4.
[2]
Klabbers J. H. G. 2003. Guest Editor of the Special issue of the Journal Simulation & Gaming. Theme: Gaming & Simulation: The art and science of design. Simulation & Gaming, Volume 34 Issue 4.
[3]
Klabbers J. H. G. 2006. Guest Editor of the Special issue of the Journal Simulation & Gaming. Theme: Artifact assessment vs. Theory testing. Simulation & Gaming, Volume 37 Issue 2.
[4]
Klabbers J. H. G. 2009. The magic circle: Principles of gaming & simulation3rd and rev. ed. Rotterdam, The Netherlands: Sense Publishers.
[5]
Abt C. 1970. Serious games. New York, NY: Viking Press.
[6]
Alexander C. 1964. Notes on the synthesis of form. Cambridge, MA: Harvard University Press.
[7]
Atwood M. E., McCain K. W., Williams J. C. 2002. How does the design community think about design? In Proceedings of Designing Interactive Systems 2002 pp. pp.125-–132. New York, NY: ACM.
[8]
Barth F. 2002. An Anthropology of Knowledge. Current Anthropology, Volume 43 Issue 1, pp.1-–18.
[9]
Blasi L., Alfonso B. 2006. Increasing the Transfer of Simulation Technology from R&D into School Settings: An approach to evaluation from overarching vision to individual artifact in education. Simulation & Gaming, Volume 37 Issue 2, pp.245-–267.
[10]
Bogost I. 2007. Persuasive games. Cambridge, MA: MIT Press.
[11]
Bogost I. 2011. Persuasive games: Exploitationware. Gamasutra. Retrieved from <ext-link ext-link-type="uri" xlink:href="https://www.gamasutra.com/view/feature/134735/persuasive_games_exploitationware.php">https://www.gamasutra.com/view/feature/134735/persuasive_games_exploitationware.php</ext-link>
[12]
Brown J. S., Collins A., Duguid P. 1989. Situated Cognition and the Culture of Learning, Educational Researcher 181, pp.32-–42.
[13]
Cassidy D. C. 1992. Uncertainty: The life and Science of Werner Heisenberg. New York, NY: Freeman.
[14]
Chatterji M. 2005. Evidence on "what works": An argument for Extended-Term- Mixed-Method ETMM evaluation designs. Educational Researcher, Volume 34 Issue 5, pp.14-–24.
[15]
Ehn P. 1989. Work-oriented design of computer artifacts. Hillsdale, NJ: Lawrence Erlbaum.
[16]
Foucault M., 1980. Power/Knowledge. New York, NY. Pantheon Books.
[17]
Funtowicz S. O., Ravetz J. R. 1993. Science for the post-normal age. Futures, pp. pp.739-–755.
[18]
Gell-Mann M. 1994. The quark and the jaguar: Adventures in the simple and the complex. New York, NY: Freeman.
[19]
Giddens A. 1993. New rules of sociological method. Cambridge, UK: Polity Press.
[20]
Gill J. H 2000The tacit mode: Michael Polanyi's postmodern philosophy. Albany: State University of New York.
[21]
Gleick J. 1992. Genius: The life and science of Richard Feynman. New York, NY: Vintage.
[22]
Hacking I. 1999. The social construction of what?London, England: Harvard University Press.
[23]
Hacking I. 2002</year>. Inaugural lecture: Chair of Philosophy and History of Scientific Concepts at the Collège de France<day>16</day><year>2001. Economy and Society, Volume 31 Issue 1, pp.1-–14.
[24]
Huizinga J. 1985. Homo Ludens: A study of the play element of culture8th ed. Groningen: Wolters-Noordhoff.
[25]
Jones J. C. 1977. Design methods: Seeds of human futures. London, England: Wiley-Interscience.
[26]
Kalff D. J. A. 1989. Strategic decision making and simulation in Shell. In Klabbers J. H. G., Scheper W. J., Takkenberg C. A., Crookall D. Eds., Simulation-Gaming: On the improvement of competence in dealing with complexity, uncertainty and value conflicts pp. pp.51-–61. Oxford, UK: Pergamon Press.
[27]
Klabbers J. H. G. 2009. The magic circle: Principles of gaming & simulation. Rotterdam, The Netherlands: Sense Publishers.
[28]
Klabbers J. H. G. 2014. Social problem solving: Beyond method. In Duke R. D., Kriz W. C. Eds., Back to the future of gaming pp. pp.12-–29. Bielefeld, Germany: Bertelsmann.
[29]
Klabbers J. H. G., Gust M. 1998. Enhancing organisation & policy development through gaming. In Geurts J., Joldersma C. Eds., Gaming/Simulation for Policy Development and Organizational Change. Proceedings of the 28Th Annual International Conference International Simulation and Gaming Association ISAGA</conf-name> pp. pp.29-–39. Tilburg: <conf-name>Tilburg University Press.
[30]
Klabbers J. H. G., Swart R. J., van Ulden A. P., Vellinga P. 1995. Climate Policy: managing organised complexity through gaming. In Crookall D., Arai K., Eds. Simulation and gaming across disciplines and cultures. pp. pp.122-–133. London: SAGE.
[31]
Kuhn T. S. 1962. The structure of scientific revolution. Chicago, IL: University of Chicago Press.
[32]
Landers R. N., Auer E. M., Collmus A. B., Armstrong M. B. 2018. Gamification science. Its history and future: Definitions and a research agenda. Simulation & Gaming, Volume 49, pp.315-–337.
[33]
Makedon A. 1984. Playful gaming. Simulation & Games, Volume 15 Issue 1, pp.25-–64.
[34]
Maturana H. R., Varela F. J. 1980. Autopoiesis and cognition. London, Eng;and: Reidel.
[35]
Moore W. 1989. Schrödinger: Life and thought. Cambridge, UK: Cambridge University Press.
[36]
Mouzelis N. 1991. Back to sociological theory: The construction of social order. London, England: Macmillan.
[37]
Polanyi M. 1964. Personal knowledge. New York, NY: Harper & Row.
[38]
Polanyi M. 1966. The tacit dimension. Garden City, NY: Doubldeday.
[39]
Popper K. 1967. Epistemology without a knowing subject Reprinted in Philosophy TodayVolume 2, by Gill J. H., Ed., 1970. New York, NY: Macmillan.
[40]
Rasmussen J., Pejtersen A. M., Goodstein L. P. 1994. Cognitive systems engineering. New York: Wiley.
[41]
Rittel H. 1984. Second-generation design methods. In Cross N. Eds., Developments in design methodology pp. pp.317-–327. New York, NY: Wiley.
[42]
Rossi P. H., Freeman H. E., Lipsey M.W. 1999. Evaluation: A systematic approach6th ed. Thousand Oaks, CA; SAGE.
[43]
Schatzki T.R. 1993Theory at Bay: Foucault, Lyotard, and politics of the local. In Jones J. P., Natter W., Schatzki T. R. Eds., Postmodern contentions pp. pp.39-–64. New York, NY: The Guilford Press.
[44]
Schön D. A. 1983. The reflective practitioner. New York, NY: Basic Books.
[45]
Schön D. A. 1987. Educating the reflective practitioner. San Francisco, CA: Jossey-Bass.
[46]
Simon H.A. 1969. The sciences of the artificial. Cambridge, MA: MIT Press.
[47]
Soja E.W. 1993. Postmodern geographies and the critique of historicism. In Jones J. P., Natter W., Schtazki T. R. Eds., Postmodern contentions pp. pp.113-–136. New York: The Guilford Press.
[48]
Stadsklev R. 1979. Handbook of simulation gaming in social education: Part 2. Directory of noncomputer materials2nd ed. Tuskaloosa: University of Alabama, Institute of Higher Education Research and Services.
[49]
Sutton-Smith B. 1997. The ambiguity of play. Cambridge, MA: Harvard University Press.
[50]
Thorngate W. 1976. "In general" vs. "it depends": Some comments on the Gergen-Schlenker debate. Personality and Social Psychology Bulletin, Volume 2, pp.404-–410.
[51]
Van Gigch J . 2002-a. Comparing the epistemologies of scientific disciplines in two distinct domains: Modern physics versus social sciences. Systems Research and Behavioral Science, Volume 19 Issue 6, pp.551-–562.
[52]
Van Gigch J . 2002-b. Comparing the epistemologies of scientific disciplines in two distinct domains: Modern physics versus social sciences. Systems Research and Behavioral Science, Volume 19 Issue 3, pp.199-–209.
[53]
Vicente K. J. 1999. Cognitive work analysis: Towards safe, productive, and healthy computer-based work. Mahweh, NJ: Lawrence Erlbaum.
[54]
Von Neumann J., Morgenstern O . 1944. Theory of games and economic behavior. Princeton, NJ: Princeton University Press.
[55]
Weick K. E. 1979. The social psychology of organizing. London, England: Addison-Wesley.
[56]
Wynne B. 1992. Uncertainty and environmental learning. Global Environmental Change, Volume 2, pp.111-–127.

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cover image Simulation and Gaming
Simulation and Gaming  Volume 49, Issue 3
6 2018
174 pages

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Sage Publications, Inc.

United States

Publication History

Published: 01 June 2018

Author Tags

  1. analytical science
  2. communities of observers
  3. communities of practice
  4. design science
  5. faces of knowledge
  6. indeterminacy
  7. modernism
  8. normal science
  9. physics
  10. post-normal science
  11. postmodernism
  12. social organization
  13. social problem solving
  14. zones of practice

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