Computational Qualitative Economics Computational Intelligence-Assisted Building, Writing and Running Virtual Economic Theories

被引:0
|
作者
Andrasik, Ladislav [1 ]
机构
[1] Slovak Tech Univ Bratislava, Inst Management, Bratislava 51243 1, Slovakia
关键词
Built-in Software: Theaters; Stages and Scenes of CQE; Causal Reasoning; Computational Intelligence; Digital Fables; Digital Storytelling; Economic theory building Engine; Experimentation in Virtual Laboratories; Happenings of Economics Episodes; Knowledge Discovery in running Virtual Experiments; Qualitative:; Reasoning; Modeling; Simulation and Theorizing; ARTIFICIAL ECONOMY; BIFURCATIONS; EVOLUTION; DYNAMICS; CURVES; MODELS; AREAS;
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
In steeply evolving global knowledge based society and in authentic economies too are up-and-coming the wide collection of complex problems and tasks that can't be understand and solved only by conventional approaches, methods and tools. The deep understanding such new complex phenomena are asking for better fitting methods. Fortunately the progress in ICT, Internet and first of all in Applied Informatics (AI) and Computational Intelligence (CI) can help to overrule several of such problems. Actually the possibility for using advanced ICT, new generations of web products and services but mainly for utilization of Cl are giant jump ahead in deeper understanding complex economic phenomena without historical precedence. In this chapter the author is focusing his attention to new evolving Scientific Program (SP) in General Economics (GE) area called Computational Qualitative Economics (CQE). He shows that CI effectively helps for deeper understanding also conventional complex economic problems even with rather simple CI devices. The great advantage of Cl products and services laying in option for assistance not only in knowledge acquisition and in theory building process but can assist in writing of codified theories and in performance of different digital happenings and in compositions and programming of digital scene for authentic performance of evolutionary stories. Among others this chapter will explore the potential advantages and disadvantages of Computational Qualitative Economics (CQE) so for the analysis of real economies, economic systems, models and artificial entities as for the study of codified conventional economic theories and/or economic theories of main stream. The author is also hints at recent debates about the potential methodological costs and benefits of ICT, Internet and CI use in qualitative research, modelling, simulation, and about the relationship between methodological approaches on the one hand and CI assistance methods of qualitative research on the other. It is not consent to argument that the connection between certain ICT, Internet and CI aided strategies and methodological approaches are far looser than is often assumed. He not means that they can panacea potentials but the gains from using them are significant in wide area of socio-economic research. The Qualitative theory building, writing, endosomatic rebuilding and using by authentic subjects assisted by ICT, Internet and Cl contribute significant progress in cogitation and so in deeper understanding of economies living in global knowledge based society. This chapter is not invented for Computational Quantitative Economics, and/or Econometric or Prognostic Simulations and was limited only to the intentional sphere of positive economics. Similarly it has to be say - from the point of existence of double-fold possibility to methodical approaches the subject that is from up to down (phenomenological approach) and from bottom to up - that this chapter is rest only on using the first one. Primary Classification: J. Computer Applications; -> Social and Behavioural sciences; -> Subjects: Economics. Additional Classification: I. Computing Methodologies; -> Computational (Artificial) Intelligence; -> Subjects: Applied products and services of CI utilizable in CQE.
引用
收藏
页码:247 / 261
页数:15
相关论文
共 6 条
  • [1] Computational Intelligence-Assisted Understanding of Nature-Inspired Superhydrophobic Behavior
    Zhang, Xia
    Ding, Bei
    Cheng, Ran
    Dixon, Sebastian C.
    Lu, Yao
    [J]. ADVANCED SCIENCE, 2018, 5 (01)
  • [2] Building Virtual Community In Computational Intelligence and Machine Learning
    Zurada, Jacek M.
    Mazurowski, Madej A.
    Ragade, Rommohan
    Abdullin, Artur
    Wojtudiak, Janusz
    Gentle, James
    [J]. IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2009, 4 (01) : 43 - +
  • [3] Artificial intelligence-assisted light control and computational imaging through scattering media
    Cheng, Shengfu
    Li, Huanhao
    Luo, Yunqi
    Zheng, Yuanjin
    Lai, Puxiang
    [J]. JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2019, 12 (04)
  • [4] Artificial Intelligence-Assisted Ultrasound Diagnosis on Infant Developmental Dysplasia of the Hip Under Constrained Computational Resources
    Huang, Bingxuan
    Xia, Bei
    Qian, Jikuan
    Zhou, Xinrui
    Zhou, Xu
    Liu, Shengfeng
    Chang, Ao
    Yan, Zhongnuo
    Tang, Zijian
    Xu, Na
    Tao, Hongwei
    He, Xuezhi
    Yu, Wei
    Zhang, Renfu
    Huang, Ruobing
    Ni, Dong
    Yang, Xin
    [J]. JOURNAL OF ULTRASOUND IN MEDICINE, 2023, 42 (06) : 1235 - 1248
  • [5] How Can Artificial Intelligence Help With Space Missions - A Case Study: Computational Intelligence-Assisted Design of Space Tether for Payload Orbital Transfer Under Uncertainties
    Ren, Xianlin
    Chen, Yi
    [J]. IEEE ACCESS, 2019, 7 : 161449 - 161458
  • [6] Virtual dynamic coupling of computational fluid dynamics-building energy simulation-artificial intelligence: Case study of urban neighbourhood effect on buildings? energy demand
    Zhang, Ruijun
    Mirzaei, Parham A.
    [J]. BUILDING AND ENVIRONMENT, 2021, 195