Toward a simulated replica of futures: Classification and possible trajectories of simulation in futures studies |
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Affiliation: | 1. School of Economics, Finance and Marketing, RMIT University, Melbourne, Victoria, Australia;2. City University of New York-Brooklyn College and City University of New York-The Graduate Center, United States;3. RMIT Vietnam, Ho Chi Minh City, Vietnam;1. National Institute of Technolgoy, Suzuka College, Shiroko-cho, Suzuka, Mie, 510-0294, Japan;2. National Institute of Technology, Gifu College, 2236-2, Kamimakuwa, Motosu, Gifu, 501-0495, Japan;3. National Institute of Technology, Tsuyama College, 624-1, Numa, Tsuyama, Oakayama, 708-8509, Japan;4. Dept. Info. & Manage. Sys Eng., Nagaoka University of Technology, 1603-1, Kamitomioka, Nagaoka, Niigata 940-2188, Japan;5. Dept. Electrical & Computer Engineering, Clarkson University, Potsdam, New York State, 13699, the USA |
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Abstract: | Simulation is likely to become a prominent method of theory development. Futures studies have used simulation in different ways such as evaluating scenarios. Nonetheless, the central attributes of computer simulation such as reductionism-based abstraction, determinism and elimination of stakeholders are the main barriers of successful implementation of simulation in FS. In this paper, we would paint the plausible evolutionary panorama of futures of simulation in futures studies after looking at the role of simulation in FS so far. The possible mechanisms and partnerships required to be applied to grapple the above-mentioned difficulties will be enumerated and investigated. These, in three categories, comprise firstly, human-machine interactions such as quasi-game simulations, and scenario visualization, secondly, large-network simulations including crowd sourcing, and thirdly, simulation platforms for replication of emergence. Ergo, crafting a classification of simulation in futures studies and the possible developments will be the main contribution of this paper. A novel double diamond classification will be presented as well which reflects the past and plausible futures of simulation in futures studies. |
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Keywords: | Futures of simulation Human-machine interaction Large-network simulation Emergence Cognitive science |
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