SMART-JaCaMo: an organization-based team for the multi-agent programming contest

被引:3
|
作者
Cardoso, Rafael C. [1 ]
Krausburg, Tabajara [1 ]
Basegio, Tulio [1 ]
Engelmann, Debora C. [1 ]
Hubner, Jomi F. [2 ]
Bordini, Rafael H. [1 ]
机构
[1] Pontificia Univ Catolica Rio Grande do Sul, Fac Informat, Porto Alegre, RS, Brazil
[2] Univ Fed Santa Catarina, Florianopolis, SC, Brazil
关键词
Multi-agent programming contest; Decentralized multi-agent systems; Agents in the City; JaCaMo;
D O I
10.1007/s10472-018-9584-z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Multi-Agent Programming Contest in 2017 expanded upon the Agents in the City scenario used in the 2016 edition of the contest. In the Agents in the City contest, two teams compete to accomplish logistic tasks in simulations using realistic city maps from OpenStreetMap. The new version of the scenario shifted emphasis to include jobs that require assembled items, new types of facilities, and larger teams, resulting in a significantly more complex scenario than before. In this paper, we describe the strategies used by our team, highlighting our adaptations and any new additions from our participation in the previous year. One such new addition, is that now we have fully explored the use of all three programming dimensions (agent, environment, and organization) found in JaCaMo, the multi-agent system development platform that we used to implement our team. We also provide some discussion and analysis on what we believe were some of our most influential matches.
引用
收藏
页码:75 / 93
页数:19
相关论文
共 50 条
  • [41] Programming multi-agent systems
    Dastani, M
    Gomez-Sanz, JJ
    KNOWLEDGE ENGINEERING REVIEW, 2005, 20 (02): : 151 - 164
  • [42] Programming multi-agent systems
    Dastani, Mehdi
    KNOWLEDGE ENGINEERING REVIEW, 2015, 30 (04): : 394 - 418
  • [43] Programming Multi-agent Systems
    Dastani, Mehdi
    COMPUTATIONAL LOGIC IN MULTI-AGENT SYSTEMS, 2009, 5405 : 13 - 16
  • [44] The Impact of Expertise on Pair Programming productivity in a Serum team: A Multi-Agent Simulation
    Wang, Zhe
    PROCEEDINGS OF 2018 IEEE 9TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS), 2018, : 399 - 402
  • [45] TAO: a multi-agent technology based on constraint programming
    Shvetsov, I
    Nesterenko, T
    Starovit, S
    SIXTH SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 1997, 40 : 151 - 161
  • [46] Improving multi-agent based scheduling by neurodynamic programming
    Csáji, BC
    Kádár, B
    Monostori, L
    HOLONIC AND MULTI-AGENT SYSTEMS FOR MANUFACTURING, 2003, 2744 : 110 - 123
  • [47] Multi-agent smart environments
    Cook, Diane J.
    JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2009, 1 (01) : 51 - 55
  • [48] Modeling military organization based on multi-agent in battlefields
    Wang, Hongjie
    Zhu, Tao
    Chang, Guocen
    Zang, Lei
    Li, Xuejun
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 345 - +
  • [49] The Compare of Solo Programming Strategies in a Scrum Team: A Multi-agent Simulation Tool for Scrum Team Dynamics
    Wang, Zhe
    INTELLIGENT SYSTEMS APPLICATIONS IN SOFTWARE ENGINEERING, VOL 1, 2019, 1046 : 349 - 375
  • [50] RoboAKUT:: A multi-agent rescue team
    Talaysüm, B
    Akin, HL
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 1118 - 1123