Computational Intelligence and Neuroscience

Artificial Intelligence and Machine Learning-Driven Decision-Making


Publishing date
01 May 2022
Status
Closed
Submission deadline
17 Dec 2021

Lead Editor

1Guangxi University for Nationalities, Nanning, China

2Huainan Normal University, Huainan, China

3Al-Azhar University, Cairo, Egypt

This issue is now closed for submissions.
More articles will be published in the near future.

Artificial Intelligence and Machine Learning-Driven Decision-Making

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Decision-making refers to the strategy or method of decision. It is a process involving ideas and decisions about certain events. It is a complex process in terms of operations. It includes information collection, processing, judgments, and conclusions. Artificial intelligence (AI) is a subject that looks into computer simulations and assesses certain thinking processes and intelligent behaviours of humans (such as learning, reasoning, thinking, planning, etc.). AI is mainly based on the principles of computer intelligence, enabling computers to have similar intelligence as human brains. For decision-making problems, AI and machine learning (ML) can help us make the best choices. The most commonly used artificial intelligence and learning machine tools for decision making are genetic algorithms, cellular automata, and agent-based models.

Artificial intelligence and learning machine-driven decision-making are widely applied in computer science, engineering, physics, mathematics, and medicine. These types of decision-making include mathematic system theory, fuzzy logic, and fuzzy rules. With AI and ML-driven decision-making, experts in various fields are able to predict and decide the best choices.

The aim of this special issue is to bring together original research and review articles discussing how artificial intelligence and learning machines in decision-making help conduct further research in computer science, engineering, physics, mathematics, and medicine public policy. This Special Issue hopes to provide a platform for researchers to discuss their new findings in understanding how AI and ML can solve decision-making problems.

Potential topics include but are not limited to the following:

  • Artificial intelligence and machine learning-driven decision-making in computer science
  • Artificial intelligence models used for decision-making
  • Machine learning models used for decision-making
  • AI and ML-driven decision-making in medical expert models
  • AI and ML-driven decision-making in fuzzy mathematic models
  • AI and ML-driven decision-making in rough mathematic models
  • AI and ML-driven decision-making in complex models
  • AI and ML-driven decision-making in nonlinear systems control
  • AI and ML-driven decision-making in fractional-order systems control

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 6031129
  • - Research Article

Network Security Situation Prediction Model Based on EMD and ELPSO Optimized BiGRU Neural Network

Biao Zhang | Mingqi Jia | ... | Liwei Deng
  • Special Issue
  • - Volume 2022
  • - Article ID 2998242
  • - Research Article

An Improved Transformer-Based Neural Machine Translation Strategy: Interacting-Head Attention

Dongxing Li | Zuying Luo
  • Special Issue
  • - Volume 2022
  • - Article ID 4151487
  • - Review Article

Assessment and Evaluation of Different Machine Learning Algorithms for Predicting Student Performance

Yazan A. Alsariera | Yahia Baashar | ... | Nor’ashikin Ali
  • Special Issue
  • - Volume 2022
  • - Article ID 6979075
  • - Research Article

On Stability of Continuous Cooperative Static Games with Possibilistic Parameters in the Objective Functions

Harish Garg | S. A. Edalatpanah | ... | Hamiden Abd El- Wahed Khalifa
  • Special Issue
  • - Volume 2022
  • - Article ID 4822212
  • - Research Article

Bayesian Estimation of Different Scale Parameters Using a LINEX Loss Function

M. A. Mohammed | Sundus N. Al-Aziz | ... | Emad E. Mahmoud
  • Special Issue
  • - Volume 2022
  • - Article ID 3491732
  • - Research Article

Parameter Estimation in Step Stress Partially Accelerated Life Testing under Different Types of Censored Data

Mustafa Kamal | Sabir Ali Siddiqui | ... | Thierno Souleymane Barry
  • Special Issue
  • - Volume 2022
  • - Article ID 5837405
  • - Research Article

On Hamiltonian Decomposition Problem of 3-Arc Graphs

Guangjun Xu | Qiang Sun | Zuosong Liang
  • Special Issue
  • - Volume 2022
  • - Article ID 2951193
  • - Research Article

Learning Attentional and Gated Communication via Curiosity

Chuxiong Sun | Kaijie Zhou | ... | Xiaohui Hu
  • Special Issue
  • - Volume 2022
  • - Article ID 4874516
  • - Research Article

Identification of Insider Trading in the Securities Market Based on Multi-task Deep Neural Network

Guofeng Li | Zuojuan Li | ... | Ke Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 3183469
  • - Research Article

A Novel Approach of Feature Space Reconstruction with Three-Way Decisions for Long-Tailed Text Classification

Xin Li | Lianting Hu | ... | Long Lu
Computational Intelligence and Neuroscience
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Acceptance rate51%
Submission to final decision41 days
Acceptance to publication25 days
CiteScore3.900
Journal Citation Indicator0.700
Impact Factor3.120
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Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.