Multi-agent planning in Sokoban

被引:0
|
作者
Berger, Matthew S. [1 ]
Lawton, James H. [1 ]
机构
[1] USAF, Res Lab, Informat Directorate, Rome, NY USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The issue of multi-agent planning in highly dynamic environments is a major impediment to conventional planning solutions. Plan repair and replanning solutions alike have difficulty adapting to frequently changing environment states. To adequately handle such situations, this paper instead focuses on preserving individual agent plans through multi-agent coordination techniques. We describe a reactive agent system architecture in which the main focus of an agent is to be able to achieve its subgoals without interfering with any other agent. The system is a 3-level architecture, where each level is guided by the following fundamental principles, respectively: when is it valid to generate a plan for a subgoal, who is most appropriate for completing the subgoal, and how should the plan be carried out.
引用
收藏
页码:334 / 336
页数:3
相关论文
共 50 条
  • [1] Hybrid Multi-agent Planning
    Elkawkagy, Mohamed
    Biundo, Susanne
    MULTIAGENT SYSTEM TECHNOLOGIES, 2011, 6973 : 16 - 28
  • [2] THE MULTI-AGENT PLANNING PROBLEM
    Kalmar-Nagy, Tamas
    Giardini, Giovanni
    ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2011, : 296 - 305
  • [3] Multi-Agent UAV Path Planning
    Marsh, L.
    Calbert, G.
    Tu, J.
    Gossink, D.
    Kwok, H.
    MODSIM 2005: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING: ADVANCES AND APPLICATIONS FOR MANAGEMENT AND DECISION MAKING, 2005, : 2188 - 2194
  • [4] Cost Partitioning for Multi-agent Planning
    Stolba, Michal
    Urbanovska, Michaela
    Fiser, Daniel
    Komenda, Antonin
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 2, 2019, : 40 - 49
  • [5] Potential Heuristics for Multi-Agent Planning
    Stolba, Michal
    Fiser, Daniel
    Komenda, Antonin
    TWENTY-SIXTH INTERNATIONAL CONFERENCE ON AUTOMATED PLANNING AND SCHEDULING (ICAPS 2016), 2016, : 308 - 316
  • [6] Planning of Autonomous Multi-agent Intersection
    Viksnin, Ilya I.
    Zikratov, Igor A.
    Shlykov, Andrei A.
    Belykh, Daria L.
    Komarov, Igor I.
    Botvin, Gennady A.
    INTERNATIONAL CONFERENCE ON BIG DATA AND ITS APPLICATIONS (ICBDA 2016), 2016, 8
  • [7] Scalable Planning in Multi-Agent MDPs
    Sahabandu, Dinuka
    Niu, Luyao
    Clark, Andrew
    Poovendran, Radha
    2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 5932 - 5939
  • [8] Periodic Multi-Agent Path Planning
    Kasaura, Kazumi
    Yonetani, Ryo
    Nishimura, Mai
    THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 5, 2023, : 6183 - 6191
  • [9] A heuristic technique for multi-agent planning
    Ephrati, E
    Rosenschein, JS
    ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 1997, 20 (1-4) : 13 - 67
  • [10] Efficient approaches for multi-agent planning
    Borrajo, Daniel
    Fernandez, Susana
    KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 58 (02) : 425 - 479