Cognitive Heterogeneous Multi-Domain Networks with Hierarchical Learning

被引：0
|
作者：
Ben Yoo, S. J. [1 ]
机构：
[1] Univ Calif Davis, Dept Elect & Comp Engn, Davis, CA 95616 USA
来源：
2018 IEEE PHOTONICS SOCIETY SUMMER TOPICAL MEETING SERIES (SUM) | 2018年
关键词：
cognitive networking; heterogeneous networking; game theory; machine learning; artificial intelligence;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We discuss bio-inspired hierarchical networking with team-oriented cognitive intelligence as well as heterogeneous multi-domain networking utilizing multi-broker agents driven by market-driven interactions of the multi-agent learning system.
引用
收藏
页数：3
相关论文
共 50 条
  • [31] QoS routing in multi-domain networks
    Benmohamed, L
    Doshi, B
    2005 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), 2005, : 137 - 140
  • [32] On Resource Provisioning for Multi-Domain Networks
    Zhang, Xiaolan J.
    Kim, Sun-il
    Lumetta, Steven S.
    OFC: 2009 CONFERENCE ON OPTICAL FIBER COMMUNICATION, VOLS 1-5, 2009, : 2615 - +
  • [33] Hierarchical Deep Reinforcement Learning-based Load Balancing Algorithm for Multi-domain Software-Defined Networks
    Kolakowski, Robert
    Kuklinski, Slawomir
    Tomaszewski, Lechoslaw
    2024 23RD IFIP NETWORKING CONFERENCE, IFIP NETWORKING 2024, 2024, : 607 - 612
  • [34] Hierarchical PCE in GMPLS-based Multi-Domain Wavelength Switched Optical Networks
    Giorgetti, A.
    Paolucci, F.
    Cugini, F.
    Castoldi, P.
    2011 OPTICAL FIBER COMMUNICATION CONFERENCE AND EXPOSITION (OFC/NFOEC) AND THE NATIONAL FIBER OPTIC ENGINEERS CONFERENCE, 2011,
  • [35] Multi-Domain Active Learning for Recommendation
    Zhang, Zihan
    Jin, Xiaoming
    Li, Lianghao
    Ding, Guiguang
    Yang, Qiang
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 2358 - 2364
  • [36] Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges
    Zong, Yue
    Feng, Chuan
    Guan, Yingying
    Liu, Yejun
    Guo, Lei
    SENSORS, 2020, 20 (09)
  • [37] HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph
    Li, Yakun
    Hou, Lei
    Li, Dongmei
    Li, Juanzi
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 233
  • [38] Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment
    Zhang, Jiequan
    Zhao, Qingyu
    Adeli, Ehsan
    Pfefferbaum, Adolf
    V. Sullivan, Edith
    Paul, Robert
    Valcour, Victor
    Pohl, Kilian M.
    MEDICAL IMAGE ANALYSIS, 2022, 75
  • [39] Hierarchical Distributed Orchestration Framework for Multi-Domain SDTNs
    Choi, Jin Seek
    JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, 2017, 9 (12) : 1125 - 1135
  • [40] A HIERARCHICAL TRACKER FOR MULTI-DOMAIN DIALOGUE STATE TRACKING
    Li, Jieyu
    Zhu, Su
    Yu, Kai
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 8014 - 8018
12345