Bringing Discrete Event Simulation Concepts into Multi-Agent Systems

被引:6
|
作者
Gianni, Daniele [1 ]
机构
[1] Univ Roma Tor Vergata, Dept Comp Sci, I-00133 Rome, Italy
关键词
D O I
10.1109/UKSIM.2008.139
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Agent-based Modelling (ABM) is a very efficacious conceptualisation paradigm that easily allows the representation of very complex physical systems composed of autonomous, possibly intelligent, interacting entities. For this reason, Agent-based systems (ABS) have been incorporated into simulation as a mean of effectively increasing the realism through adaptation and learning abilities. The integration between ABM and simulation, namely Agent-based Modelling and Simulation (ABMS), however, can be further exploited by modelling the simulation system as a Multi Agent System (MAS). To achieve this, the first step is to provide ABSs with discrete event simulation (DES) concepts (simulation time and services) and an interaction protocol. In this paper, we present a formulation of DES in terms of MAS through the design of software framework, named SimJADE, for the ABMS.
引用
收藏
页码:186 / 191
页数:6
相关论文
共 50 条
  • [1] Co-Detectability of Multi-Agent Discrete Event Systems
    Shu, Shaolong
    Lin, Feng
    [J]. 2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 1708 - 1713
  • [2] Distributed trajectory planning for multi-agent discrete event systems
    Appel, Marcus
    Walther, Michael
    Konigorski, Ulrich
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2019, 67 (09) : 751 - 761
  • [3] A framework for multi-agent discrete event simulation:: V-Lab®
    Sridhar, P
    Jamshidi, M
    [J]. Soft Computing with Industrial Applications, Vol 17, 2004, 17 : 187 - 192
  • [4] On Scalable Supervisory Control of Multi-Agent Discrete-Event Systems
    Liu, Yingying
    Cai, Kai
    Li, Zhiwu
    [J]. IFAC PAPERSONLINE, 2018, 51 (07): : 25 - 30
  • [5] On scalable supervisory control of multi-agent discrete-event systems
    Liu, Yingying
    Cai, Kai
    Li, Zhiwu
    [J]. AUTOMATICA, 2019, 108
  • [6] Bringing Paxos Consensus in Multi-agent Systems
    Mocanu, Andrei
    Badica, Costin
    [J]. 4TH INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE, MINING AND SEMANTICS, 2014,
  • [7] Bringing multi-agent systems into human organizations: Application to a multi-agent information system
    Adam, E
    Mandiau, R
    [J]. CONCEPTUAL MODELING FOR NOVEL APPLICATION DOMAINS, PROCEEDINGS, 2003, 2814 : 168 - 179
  • [8] A multi-agent simulation of primate social concepts
    Picault, S
    [J]. ECAI 1998: 13TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 1998, : 327 - 328
  • [9] Event-Driven Multi-agent Simulation
    Meyer, Ruth
    [J]. MULTI-AGENT-BASED SIMULATION XV, 2015, 9002 : 3 - 16
  • [10] Event-triggered tracking control for discrete-time multi-agent systems
    Yin, Xiuxia
    Yue, Dong
    Su, Housheng
    [J]. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2014, 31 (02) : 165 - 182