Agent-based modeling and simulation in architecture

被引:30
作者
Stieler, David [1 ]
Schwinn, Tobias [1 ,2 ]
Leder, Samuel [1 ,2 ]
Maierhofer, Mathias [1 ]
Kannenberg, Fabian [1 ,2 ]
Menges, Achim [1 ,2 ]
机构
[1] Univ Stuttgart, Inst Computat Design & Construct ICD, Keplerstr 11, D-70174 Stuttgart, Germany
[2] Univ Stuttgart, Cluster Excellence Integrat Computat Design & Cons, Stuttgart, Germany
关键词
Agent -based modeling and simulation; ABMS; Architecture; Review; Classification; Complex systems; Multi -agent systems; MAS; Construction; Design; BUILDING ENERGY; COLLABORATIVE DESIGN; COMFORT MANAGEMENT; MULTIAGENT SYSTEM; SELF-ORGANIZATION; FRAMEWORK; BEHAVIOR; INTELLIGENT; USER; CONSUMPTION;
D O I
10.1016/j.autcon.2022.104426
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Over the last two decades, the use of agent-based models (ABMs) to model and simulate the dynamics of complex systems has increased significantly among various scientific fields, including architecture. Based on a systematic literature review, this paper presents a classification for agent-based modeling and simulation (ABMS) in ar-chitecture based on the individual entities being modeled as agents. The classification is based on a reproducible search method capable of incorporating findings from different domain-specific databases to systematically retrieve relevant literature for ABMS in architecture. Subsequently, in each of the ABMs encountered in the selected literature, we identify what entity an agent in the model represents. Based on this identification, a comprehensive classification for ABMs in architecture is achieved. By describing each of the resulting categories, we provide new insights into the field of ABMS in architecture. Finally, we discuss limitations, as well as future trends and possibilities for ABMS in architecture.
引用
收藏
页数:21
相关论文
共 132 条
  • [91] Modeling and simulation of energy-related human-building interaction: A systematic review
    Norouziasl, Seddigheh
    Jafari, Amirhosein
    Zhu, Yimin
    [J]. JOURNAL OF BUILDING ENGINEERING, 2021, 44
  • [92] An agent-based model framework for understanding the decisions of households and exploring bottom-up effects on housing sustainability
    Pagani, Anna
    Shinde, Rhythima
    Hellweg, Stefanie
    Binder, Claudia R.
    [J]. CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019), 2019, 1343
  • [93] Beyond geometric complexity: a critical review of complexity theory and how it relates to architecture engineering and construction
    Pantazis, Evangelos
    Gerber, David Jason
    [J]. ARCHITECTURAL SCIENCE REVIEW, 2019, 62 (05) : 371 - 388
  • [94] A framework for generating and evaluating facade designs using a multi-agent system approach
    Pantazis, Evangelos
    Gerber, David
    [J]. INTERNATIONAL JOURNAL OF ARCHITECTURAL COMPUTING, 2018, 16 (04) : 248 - 270
  • [95] Pantazis E, 2017, ECAADE 2017: SHARING OF COMPUTABLE KNOWLEDGE! (SHOCK!), VOL 1, P75
  • [96] Pietri S., 2017, P 35 ECAADE C, V1, P689
  • [97] RAMSTEIN C, 1995, ADV HUM FACT ERGON, V20, P455, DOI 10.1016/S0921-2647(06)80074-2
  • [98] Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance
    Raoufi, Mohammad
    Fayek, Aminah Robinson
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2020, 146 (05)
  • [99] Multi-agent systems in construction-state of the art and prospects
    Ren, Z
    Anumba, CJ
    [J]. AUTOMATION IN CONSTRUCTION, 2004, 13 (03) : 421 - 434
  • [100] Reynolds C.W., 1999, P GAM DEV C, P763