The Application of Artificial Intelligence in Project Management Research: A Review

被引:17
|
作者
Gil Ruiz, Jesus [1 ]
Martinez Torres, Javier [2 ]
Gonzalez Crespo, Ruben [3 ]
机构
[1] Univ Int La Rioja, Sch Doctorate Programs, Logrono, La Rioja, Spain
[2] Univ Vigo, Dept Appl Math 1, Vigo, Spain
[3] Univ Int La Rioja, Sch Engn & Technol, Logrono, La Rioja, Spain
关键词
Artificial Intelligence; Decision Support Systems; Evolutionary Diffuse Hybrid Neuronal Network; Project Management; Project Success; Critical; NEURAL-NETWORKS; PORTFOLIO SELECTION; GENETIC ALGORITHMS; FAULT-DIAGNOSIS; FUZZY-SYSTEMS; OPTIMIZATION; BOOTSTRAP; SUCCESS; REGRESSION; MODELS;
D O I
10.9781/ijimai.2020.12.003
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The field of artificial intelligence is currently experiencing relentless growth, with innumerable models emerging in the research and development phases across various fields, including science, finance, and engineering. In this work, the authors review a large number of learning techniques aimed at project management. The analysis is largely focused on hybrid systems, which present computational models of blended learning techniques. At present, these models are at a very early stage and major efforts in terms of development is required within the scientific community. In addition, we provide a classification of all the areas within project management and the learning techniques that are used in each, presenting a brief study of the different artificial intelligence techniques used today and the areas of project management in which agents are being applied. This work should serve as a starting point for researchers who wish to work in the exciting world of artificial intelligence in relation to project leadership and management.
引用
收藏
页码:54 / 66
页数:13
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