Item Shop Tycoon: A Business Simulation Game using Monte Carlo Algorithm


Authors
  • Aaron Miguel N. Herbosa
  • Mark Lester D. Javier
  • Dhann S. Sapida
  • Azenith R. Mojica
  • De La Salle University - Dasmariñas
Published in


Abstract
  • The business simulation (also called economic simulation) genre has been around since 1983, with early titles such as M.U.L.E and Oil Barons being the first to exhibit gameplay mechanics such as the implementation of supply and demand. The genre’s rise in popularity led to the production of well received titles such as Rollercoaster Tycoon, Anno 1602 and SimCity. Item Shop Tycoon is a business simulation game that puts you in the shoes of Pedro Buenaventura, a business owner who crashed his family’s business after a string of incompetent and questionable decisions. He receives a second chance when a goddess reincarnated him into a new world with a shop to run. It is now up to the player to lead the shop’s path to success using investments, good managing skills and a little bit of luck. The gameplay consists of point-and-click segments where the user would have to simply click certain elements in the game in order to interact. The game progresses each day of the month and ends when the day of the deadline arrives. One of the game’s core features is the ability for the player to invest in various business and opportunities that allows them to gain return of investment after a specific amount of time with bonuses such as special item that could delay the time, attract more customers, or discounts on certain items. This depends on the amount invested. However, these present various amounts of risks because these businesses and enterprises can fail. The Iterative Development Model is used for this project since it is focused on simplified implementation that repeats some tasks to improve and polish the result.


Keywords
  • Business Simulation Game, Monte Carlo Simulation, Game Development




Cite As
  • APA 7th Edition:
    Herbosa, A., Javier, M., Sapida, D., & Mojica, A. (2019). Item Shop Tycoon: A Business Simulation Game using Monte Carlo Algorithm. Innovatus, 2(1), 20-25.
  • Harvard:
    Herbosa, A., Javier, M., Sapida, D. and Mojica, A., 2019. Item Shop Tycoon: A Business Simulation Game using Monte Carlo Algorithm. Innovatus, 2(1), pp.20-25.
  • IEEE:
    [1] A. Herbosa, M. Javier, D. Sapida and A. Mojica, "Item Shop Tycoon: A Business Simulation Game using Monte Carlo Algorithm", Innovatus, vol. 2, no. 1, pp. 20-25, 2019.


References


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