Computational Intelligence and Neuroscience

Design and Optimization of Human Cognitive Systems using Computational Intelligence Methods


Publishing date
01 Mar 2023
Status
Published
Submission deadline
21 Oct 2022

Lead Editor

1Changshu Institute of Technology, Suzhou, China

2Changzhou University, Changzhou, China

3Cleveland State University, Cleveland, USA


Design and Optimization of Human Cognitive Systems using Computational Intelligence Methods

Description

Humans are entering an age of big data analysis and cognitive computing, and one of the most pressing issues in the complex big data environment is the discovery of new knowledge or the making of critical decisions using computational intelligence methods. Systems of Thought research encompasses all aspects of cognitive processes in both natural and artificial systems, with a focus on the processing and analysis of large, unstructured data sets. The main goal of a cognitive system is to refer to new hardware and/or software that mimics the functioning of the human brain and helps to improve human decision-making. It is a new type of research with the goal of developing more accurate models of how the human brain and mind senses, thinks, and responds to stimuli.

Researchers employ a variety of computational intelligence methods, such as deep learning technology, transfer learning technology, multi-task learning technology, cognitive computing technology, and some other emerging computational intelligence methods, to address a variety of challenges confronting the human cognitive system. Significant challenges include how to use big data to quickly build a human cognitive system, using deep learning to mine deep feature expressions of human cognitive systems, and how other emerging computational intelligence methods can be used to improve the performance of the human cognitive system. Solving these problems has become increasingly important for relevant researchers.

This Special Issue aims to collate original research and review articles describing advances in this field. We hope to solve the above problems through this Special Issue and provide a series of solutions in this field, and we welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Cognition from the perspective of systems neuroscience
  • Big data for human cognitive systems
  • Social networks for human cognitive systems
  • Deep learning for human cognitive systems
  • Transfer learning for human cognitive systems
  • Cognitive computing for human cognitive systems
  • Data mining and knowledge discovery for human cognitive systems
  • Emerging computational intelligence methods for human cognitive systems
  • Solution optimization for human cognitive systems

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 7914674
  • - Research Article

Dynamic Optimization Modeling of Smart Tourism Information System Using VRGIS in Big Data Environment

Anfeng Xu | Wenjun Zeng
  • Special Issue
  • - Volume 2022
  • - Article ID 9248771
  • - Research Article

An Improved New Caledonian Crow Learning Algorithm for Global Function Optimization

Yanjiao Wang | Jiaxu Song | Ziming Teng
  • Special Issue
  • - Volume 2022
  • - Article ID 1856496
  • - Research Article

A Novel Affective Analysis System Modeling Method Integrating Affective Cognitive Model and Bi-LSTM Neural Network

Zhuqing Yang | Liya Zhou | Zhengjun Jing
  • Special Issue
  • - Volume 2022
  • - Article ID 8449491
  • - Research Article

Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models

Jincheng Zhou | Dan Wang | ... | Khin-Wee Lai
  • Special Issue
  • - Volume 2022
  • - Article ID 2813473
  • - Research Article

A Mental Health Management and Cognitive Behavior Analysis Model of College Students Using Multi-View Clustering Analysis Algorithm

Danhui Dong | Xiaoying Shen
  • Special Issue
  • - Volume 2022
  • - Article ID 8195075
  • - Research Article

A Comparative Optimization Model of Japanese Literature Characteristics for Cognitive Retrieval of Cross-Language Information

Tao Feng
  • Special Issue
  • - Volume 2022
  • - Article ID 2159578
  • - Research Article

Comparison and Suggestions of Logistics Performance Index of Main Countries of Belt and Road Strategy Based on Bootstrap DEA Model

Wen-Tsao Pan | Bingqian Jiang | ... | Xiaoxia Ji
  • Special Issue
  • - Volume 2022
  • - Article ID 3222249
  • - Research Article

Distributed Scheduling Strategy of Virtual Power Plant Using the Particle Swarm Optimization Neural Network under Blockchain Background

Changchang Lu | Sijie Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 1026918
  • - Research Article

Font Design Optimization Model for New Media Short Video Based on Virtual Reality Digital Processing Technology

Hongwei Hu | Wenyao Zhu
  • Special Issue
  • - Volume 2022
  • - Article ID 8965842
  • - Research Article

Comparison and Analysis of Several Clustering Algorithms for Pavement Crack Segmentation Guided by Computational Intelligence

Dan Wang | Zaijun Zhang | ... | Mingjiang Li

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