An integral cycle for building feasible multi-agent plans

被引：0
|
作者：
Marc, F
Degirmenciyan-Cartault, I
El Fallah-Seghrouchni, A
机构：
来源：
IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS | 2004年
关键词：
D O I：
10.1109/IAT.2004.1342946
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a multi-agent planning framework. It presents an integral cycle we developped to build feasible multi-agent plans in a dynamic context (i.e. aircraft simulation). This cycle takes into account both functionnal and computational features of our multi-agent planning framework. From modeling to validation, this cycle allows the management of different constraints (e.g. time, physical resources, etc.) at the single- and multi-agent levels.
引用
收藏
页码：211 / 217
页数：7
相关论文
共 50 条
  • [31] Cooperative Path Integral Control for Stochastic Multi-Agent Systems
    Wan, Neng
    Gahlawat, Aditya
    Hovakimyan, Naira
    Theodorou, Evangelos A.
    Voulgaris, Petros G.
    2021 AMERICAN CONTROL CONFERENCE (ACC), 2021, : 1262 - 1267
  • [32] Social Value Orientation and Integral Emotions in Multi-Agent Systems
    Collins, Daniel E.
    Houghton, Conor
    Ajmeri, Nirav
    COORDINATION, ORGANIZATIONS, INSTITUTIONS, NORMS, AND ETHICS FOR GOVERNANCE OF MULTI-AGENT SYSTEMS XVI, COINE 2023, 2023, 14002 : 118 - 138
  • [33] Bode integral limitations of spatially invariant multi-agent systems
    Padmasola, Prashanth
    Elia, Nicola
    PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14, 2006, : 4329 - +
  • [34] Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks
    Hernandez, Marco Perez
    Puchkova, Alena
    Parlikad, Ajith K.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 127
  • [35] Formal Verification of ALICA Multi-agent Plans Using Model Checking
    Thao Nguyen Van
    Fredivianus, Nugroho
    Huu Tam Tran
    Geihs, Kurt
    Thi Thanh Binh Huynh
    PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON INFORMATION AND COMMUNICATION TECHNOLOGY (SOICT 2018), 2018, : 351 - 358
  • [36] Generating Multi-Agent Plans by Distributed Intersection of Finite State Machines
    Tozicka, Jan
    Jakubuv, Jan
    Komenda, Antonin
    21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014), 2014, 263 : 1111 - 1112
  • [37] Performance Assessment of Crisis Management Plans with the Contribution of multi-agent Systems
    Lachtar, Dalanda
    Garbolino, Emmanuel
    CISAP5: INTERNATIONAL CONFERENCE ON SAFETY & ENVIRONMENT IN PROCESS & POWER INDUSTRY, PT 1, 2012, 26 : 477 - 482
  • [38] A Hybrid Learning Algorithm for Generating Multi-Agent Daily Activity Plans
    Ma, Tai-Yu
    Gerber, Philippe
    JOURNAL OF INTERNET TECHNOLOGY, 2016, 17 (05): : 959 - 969
  • [39] Multi-agent systems for power engineering applications - Part II: Technologies, standards, and tools for building multi-agent systems
    McArthur, Stephen D. J.
    Davidson, Euan M.
    Catterson, Victoria M.
    Dimeas, Aris L.
    Hatziargyriou, Nikos D.
    Ponci, Ferdinanda
    Funabashi, Toshihisa
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) : 1753 - 1759
  • [40] Building a fuzzy trust network in unsupervised multi-agent environments
    Schmidt, S
    Steele, R
    Dillon, T
    Chang, E
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS 2005: OTM 2005 WORKSHOPS, PROCEEDINGS, 2005, 3762 : 816 - 825
12345