A system theoretic approach to constructing test beds for multi-agent systems

被引:0
|
作者
Uhrmacher, AM
机构
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
As the number of multi-agent systems grows so does the need for testing agents in virtual dynamic environments. A system theoretic approach to constructing test beds for multi-agent systems is presented. The formalism is rooted in DEVS and describes agents and their environments as reflective time triggered automata. The hierarchical compositional model design is complemented by an abstract simulator to support the parallel, discrete event execution of the reflective automata. This theoretical exploration has brought into being the simulation system JAMES, a Java-Based Agent Modeling Environment for Simulation. It constitutes a framework for constructing test beds, in which the effects of different agent strategies, e.g. referring to deliberation, mobility, and interaction, can be experimentally analyzed. The model design allows describing and embedding agents that deliberately change the overall systems' interaction and composition structure, e.g. by moving from one interaction context to another. The execution layer realizes the abstract simulator in a distributed environment. To reduce communications over the net, a move at the model level from one interaction context to another is answered by migrating processes at the execution layer. Thus in JAMES, modeling and simulation layer are coined equally by, an agent-based perspective.
引用
收藏
页码:315 / 339
页数:25
相关论文
共 50 条
  • [21] Constructing translations between individual vocabularies in multi-agent systems
    van Eijk, RM
    de Boer, FS
    van der Hoek, W
    Meyer, JJC
    ARTIFICIAL INTELLIGENCE: METHODOLOGY SYSTEMS AND APPLICATIONS, 1998, 1480 : 240 - 253
  • [22] A formal approach for functional and structural test case generation in multi-agent systems
    Kissoum, Yacine
    Sahnoun, Zaidi
    2007 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2, 2007, : 76 - 83
  • [23] A Multi-Agent System Based Approach to Intelligent Process Automation Systems
    Van Tan, Vu
    Yi, Myeong-Jae
    PRINCIPLES OF PRACTICE IN MULTI-AGENT SYSTEMS, 2009, 5925 : 428 - 442
  • [24] The constructing of multi-agent intelligent control system for behaviors coevolution
    Luo, Jie
    Duan, Jianmin
    Chen, Jianxin
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4551 - +
  • [25] Constructing a hierarchical ontology for reinforcement learning multi-agent system
    Yu, XL
    Wang, L
    Cui, DH
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1249 - 1252
  • [26] A Game-Theoretic Approach to Multi-agent Trust Region Optimization
    Wen, Ying
    Chen, Hui
    Yang, Yaodong
    Li, Minne
    Tian, Zheng
    Chen, Xu
    Wang, Jun
    DISTRIBUTED ARTIFICIAL INTELLIGENCE, DAI 2022, 2023, 13824 : 74 - 87
  • [27] Modeling civil violence: An evolutionary multi-agent, game theoretic approach
    Goh, C. K.
    Quek, H. Y.
    Tan, K. C.
    Abbass, H. A.
    2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, : 1609 - +
  • [28] Order Formations in Multi-agent Search Problem: A Game Theoretic Approach
    Saito, Mamoru
    Hatanaka, Takeshi
    Fujita, Masayuki
    2010 AMERICAN CONTROL CONFERENCE, 2010, : 4768 - 4773
  • [29] Information-Theoretic Approach to Detect Collusion in Multi-Agent Games
    Bonjour, Trevor
    Aggarwal, Vaneet
    Bhargava, Bharat
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, VOL 180, 2022, 180 : 223 - 232
  • [30] Rational verification: game-theoretic verification of multi-agent systems
    Abate, Alessandro
    Gutierrez, Julian
    Hammond, Lewis
    Harrenstein, Paul
    Kwiatkowska, Marta
    Najib, Muhammad
    Perelli, Giuseppe
    Steeples, Thomas
    Wooldridge, Michael
    APPLIED INTELLIGENCE, 2021, 51 (09) : 6569 - 6584