• DocumentCode
    2812134
  • Title

    Coalitional Planning in Game-like Domains via ATL Model Checking

  • Author

    Wu, Jun ; Wang, Chongjun ; Zhang, Lei ; Xie, Junyuan

  • Author_Institution
    Nat. Key Lab. for Novel Software Technol., Nanjing Univ., Nanjing, China
  • fYear
    2009
  • fDate
    2-4 Nov. 2009
  • Firstpage
    645
  • Lastpage
    652
  • Abstract
    Based on the planning via model checking paradigm, we address the problem of coalitional planning in this paper. Informally, coalitional planning is the problem of planning for a subset of agents in a multi-agent system to force the whole multi-agent system to satisfy some goals. We use the language of ATL as the goal language and the semantic structure of ATL, i.e., concurrent game structure, to formalize the planning domain. We separate the concept of goal and planning object and use execution structures to interpret the goals. And then, we define a algorithm for coalitional planning and formally prove its correctness. Distinguished from the previous work, in coalitional planning all the ATL formulas can be considered as goals, thus the expressive power of ATL is sufficiently applied.
  • Keywords
    multi-agent systems; programming languages; ATL model checking; coalitional planning; execution structures; game-like domains; multi-agent system; Artificial intelligence; Computer science; Logic; Multiagent systems; Open systems; Power system planning; Printers; Process planning; Software tools; Technology planning; alternating-time temporal logic; coalition; model checking; multi-agent system; planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
  • Conference_Location
    Newark, NJ
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-5619-2
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2009.118
  • Filename
    5363060