• DocumentCode
    2649774
  • Title

    Developing Strategies for Improving Planning and Scheduling of Actions in RTS Games

  • Author

    Branquinho, Augusto A B ; Lopes, Carlos R. ; Naves, Thiago F.

  • Author_Institution
    Fac. of Comput., Fed. Univ. of Uberlandia, Uberlandia, Brazil
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    82
  • Lastpage
    89
  • Abstract
    This article describes techniques developed for generating and scheduling actions using partial order planning and SLA* in the production of resources for Real-time Strategy (RTS) Games. RTS games are characterized by two important steps. In the first step a plan of action should be carried out to produce resources. In the second step, the resources produced in the former step are employed in battles against the enemy. Resource production is vital to succeed in this sort of game. The developed algorithms significantly decrease the make span, which is the time required for execution of the actions that achieve the goal for resource production.
  • Keywords
    computer games; planning (artificial intelligence); real-time systems; resource allocation; RTS GAMES; SLA; action planning improvement strategy; action scheduling strategy; partial order planning; real-time strategy games; resource production; Games; Gold; Real time systems; Schedules; Scheduling; Learning; Planning; Real-Time Strategy Games; Resources; Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4577-2068-0
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2011.21
  • Filename
    6103310