Data Visualisation of Complex Adaptive Systems

被引:0
作者
Sinha, Satyendra [1 ]
Chaczko, Zenon [1 ]
机构
[1] Univ Technol Sydney, Sydney, NSW, Australia
来源
2019 18TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY BASED HIGHER EDUCATION AND TRAINING (ITHET 2019) | 2019年
关键词
complex; adaptive; data; visualisation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In Complex Adaptive Systems, the complexity of a construct is predicated by its heterogenic entities and the dynamic nature of their interactions. These interactions are often non-probablistic and triggered as a consequence of potentially multiple previous effects, which can lead to emergent behaviours of the overall system not present in the individual sub-systems. These systems are ubiquitous, not only in natural habitats and within living organisms but also in human-made constructs such as communities, organisations and technology that often have a life of their own. Human-made constructs are particularly interesting due to the data generated that can be unstructured, multi-dimensional and dynamic, often containing outlier data that may be considered anomalous but can still have critical impact. Complex adaptive data or data generated from Complex Adaptive Systems have interesting ramifications, particularly for data visualisation. Due to the unpredictable nature of complex adaptive data well known forms of data visualisation such as bar charts, scatter plots and heatmaps are inadequate in effectively communicating the data stories in Complex Adaptive Systems. There is a need for more advanced data visualisations that caters for complex adaptive data as it can serve as an educational and decision-making tool for experimentation of ideas in systems that are complex and adaptive.
引用
收藏
页数:4
相关论文
共 10 条
  • [1] Binion T., 2016, uS Patent, Patent No. [9,361,650, 9361650]
  • [2] A complex adaptive systems approach for productive efficiency analysis: building blocks and associative inferences
    Dougherty, Francis L.
    Ambler, Nathaniel P.
    Triantis, Konstantinos P.
    [J]. ANNALS OF OPERATIONS RESEARCH, 2017, 250 (01) : 45 - 63
  • [3] Disruptive data visualization towards zero-defects diagnostics
    Ferreira, Luis
    Putnik, Goran D.
    Lopes, Nuno
    Garcia, Wiley
    Cruz-Cunha, Maria M.
    Castro, Helio
    Varela, Maria L. R.
    Moura, Joao M.
    Shah, Vaibhav
    Alves, Catia
    Putnik, Zlata
    [J]. 11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, 2018, 67 : 374 - 379
  • [4] Self-portraits of the brain: cognitive science, data visualization, and communicating brain structure and function
    Goldstone, Robert L.
    Pestilli, Franco
    Boerner, Katy
    [J]. TRENDS IN COGNITIVE SCIENCES, 2015, 19 (08) : 462 - 474
  • [5] From Management to Stewardship: Viewing Forests As Complex Adaptive Systems in an Uncertain World
    Messier, C.
    Puettmann, K.
    Chazdon, R.
    Andersson, K. P.
    Angers, V. A.
    Brotons, L.
    Filotas, E.
    Tittler, R.
    Parrott, L.
    Levin, S. A.
    [J]. CONSERVATION LETTERS, 2015, 8 (05): : 368 - 377
  • [6] Nel D., 2018, INT PLANNING STUDIES, P1
  • [7] Salama H. A., 2017, uS Patent, Patent No. [9,537,707, 9537707]
  • [8] Sasturkar A., 2017, uS Patent, Patent No. [9,632,858, 9632858]
  • [9] Concepts and Observations in Artificial Endocrine Systems for IoT Infrastructure
    Sinha, Satyendra
    Chaczko, Zenon
    [J]. 2017 25TH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING (ICSENG), 2017, : 427 - 430
  • [10] Kinetics of sub-2 nm TiO2 particle formation in an aerosol reactor during thermal decomposition of titanium tetraisopropoxide
    Wang, Yang
    Liu, Pai
    Fang, Jiaxi
    Wang, Wei-Ning
    Biswas, Pratim
    [J]. JOURNAL OF NANOPARTICLE RESEARCH, 2015, 17 (03)