Emergent cooperative goal-satisfaction in large-scale automated-agent systems
作者: Onn ShehorySarit KrausOsher Yadgar
作者单位: 1The Robotics Institute, Carnegie-Mellon University, 5000 Forbes Ave, Pittsburgh, PA15213, USA
2Department of Mathematics and Computer Science, Bar Ilan University, Ramat Gan52900, Israel
3Institute for Advanced Computer Studies, University of Maryland, College Park, MD20742, USA
刊名: Artificial Intelligence, 1999, Vol.110 (1), pp.1-55
来源数据库: Elsevier Journal
DOI: 10.1016/S0004-3702(99)00018-1
关键词: Multi-agent systemsTask allocation
原始语种摘要: Abstract(#br)Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation (Conte et al., 1991; Rosenschein, 1986), negotiation (Kraus and Wilkenfeld, 1991), distributed planning (Conry et al., 1988), and coalition formation (Ketchpel, 1994; Sandholm and Lesser, 1997), have provided a variety of approaches and several algorithms and solutions to situations wherein cooperation is possible. However, the case of cooperation in large-scale multi-agent systems (MAS) has not been thoroughly examined. Therefore, in this paper we present a framework for cooperative goal-satisfaction in large-scale environments focusing on a low-complexity physics-oriented approach. The multi-agent systems with which we deal are modeled by a...
全文获取路径: Elsevier  (合作)
影响因子:2.194 (2012)

  • systems 系统科学与软件
  • cooperation 合作协同酌
  • large 大的
  • agent 因子
  • scale 度盘
  • provide 规定
  • allocation 分配
  • satisfaction 满意
  • several 各自
  • benefits 津贴费