Collaborative Workflow Management in Holonic Multi-Agent Systems

被引:0
|
作者
Hsieh, Fu-Shiung [1 ]
机构
[1] Chaoyang Univ Technol, Dept Comp Sci & Informat Engn, Taichung 41349, Taiwan
关键词
Context aware; human computer interaction; workflow; holon; MANUFACTURING SYSTEMS; RECONFIGURATION MECHANISM; MODEL; NETS;
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
Holonic multi-agent systems (MS) provide a flexible architecture to achieve a goal based on dynamic organization and collaboration of autonomous agents. However, the structure of the holons in HMS presents a challenge in the design of an effective mechanism to dynamically organize agents and deliver the relevant information to the right agents at the right time to achieve a goal. How to provide a framework to realize effective human computer interaction in HMS is critical to the success and adoption of HMS. The objectives of this paper are to propose a viable design methodology to achieve effective human computer interaction in HMS based on context-aware computing technology and HMS architecture. Context-aware computing refers to an application's ability to adapt to changing circumstances and respond based on the context of use. A system is context-aware if it uses context to provide relevant information and/or services to the user at the point of need. To achieve these objectives, we first propose Petri net models to describe the workflows in HMS. Next, we propose models to capture resource activities in HMS. Finally, the interactions between workflows and resources are combined to obtain a complete model for workflow management. Based on the model, we propose architecture to dynamically generate context-aware user interface to guide the users and control resource allocation based on the state of HMS.
引用
收藏
页码:383 / 393
页数:11
相关论文
共 50 条
  • [1] Holonic and multi-agent systems in industry
    Brennan, RW
    [J]. KNOWLEDGE ENGINEERING REVIEW, 2001, 16 (04): : 375 - 381
  • [2] An Adaptative Agent Architecture for Holonic Multi-Agent Systems
    Hilaire, Vincent
    Koukam, Abder
    Rodriguez, Sebastian
    [J]. ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2008, 3 (01)
  • [3] A Normative Model for Holonic Multi-agent Systems
    Missaoui, Ezzine
    Mazigh, Belhassen
    Bhiri, Sami
    Hilaire, Vincent
    [J]. 2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017), 2017, : 1251 - 1258
  • [4] A collaborative multi-agent based workflow system
    Tony, B
    Savarimuthu, R
    Purvis, M
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, 2004, 3214 : 1187 - 1193
  • [5] Multi-agent Systems for Production Management in Collaborative Manufacturing
    Taurino, Teresa
    Villa, Agostino
    [J]. COLLABORATION IN A DATA-RICH WORLD, 2017, 506 : 175 - 182
  • [6] Holonic modeling of environments for situated multi-agent systems
    Rodriguez, Sebastian
    Hilaire, Vincent
    Koukam, Abder
    [J]. ENVIRONMENTS FOR MULTI-AGENT SYSTEMS II, 2006, 3830 : 18 - 31
  • [7] Towards reinforcement learning for holonic multi-agent systems
    Abdoos, Monireh
    Mozayani, Nasser
    Bazzan, Ana L. C.
    [J]. INTELLIGENT DATA ANALYSIS, 2015, 19 (02) : 211 - 232
  • [8] Special issue on multi-agent and holonic systems in manufacturing
    Shen, Weiming
    Camarinha-Matos, Luis M.
    Brennan, Robert
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2008, 24 (05) : 595 - 596
  • [9] Formal specification of holonic multi-agent systems framework
    Rodriguez, S
    Hilaire, V
    Koukam, A
    [J]. COMPUTATIONAL SCIENCE - ICCS 2005, PT 3, 2005, 3516 : 719 - 726
  • [10] NCRIO: A Normative Holonic Metamodel for Multi-agent Systems
    Missaoui, Ezzine
    Mazigh, Belhassen
    Bhiri, Sami
    Hilaire, Vincent
    [J]. HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017, 2017, 10334 : 638 - 649