Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66542
Title: | Multiagent systems in construction : a ten-year review | Authors: | Liang, X Shen, GQ Bu, SS |
Issue Date: | Nov-2016 | Source: | Journal of computing in civil engineering, Nov. 2016, v. 30, no. 6, 04016016, p. 1-11 | Abstract: | This study critically reviews multiagent systems (MAS) in construction. Given their autonomous, cooperative, and learning attributes, MAS are a promising approach to address the essential problems of collaboration and consensus among stakeholders in construction projects. Despite the development of many agent-based technologies and applications in recent years, relatively few reviews have been reported on this area. Based on selected papers, this study proposes a novel framework of MAS in construction. It focuses on collaboration and consensus in construction projects, and comprehensively organizes three dimensions of MAS: (1) application, (2) issue, and (3) attribute. Based on this framework, the applications and issues in construction domain can be facilitated with appropriate attributes of MAS, and it also can help find the potential applications of MAS in construction. Furthermore, this study clarifies the advantages of MAS and support collaboration and consensus in construction domain. Finally, the development of MAS in construction is presented, and future research directions are recommended. | Keywords: | Multiagent system Agent Construction Collaboration Consensus |
Publisher: | American Society of Civil Engineers | Journal: | Journal of computing in civil engineering | ISSN: | 0887-3801 | EISSN: | 1943-5487 | DOI: | 10.1061/(ASCE)CP.1943-5487.0000574 | Rights: | Copyright 2016 by the American Society of Civil Engineers This is the author’s version of a work that was accepted for publication in Journal of computing in civil engineering. The open URL of the article: http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000574 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Liang_Xin_2016b_r.pdf | Pre-published version | 207.32 kB | Adobe PDF | View/Open |
Page views
118
Last Week
0
0
Last month
Citations as of Mar 24, 2024
Downloads
461
Citations as of Mar 24, 2024
SCOPUSTM
Citations
16
Last Week
0
0
Last month
Citations as of Mar 29, 2024
WEB OF SCIENCETM
Citations
15
Last Week
0
0
Last month
Citations as of Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.