English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems [Guest Editorial]

Tang, Y., Yen, G. G., Kurths, J. (2022): Special Issue on Computational Intelligence for Perception and Decision-Making of Autonomous Systems [Guest Editorial]. - IEEE Transactions on Emerging Topics in Computational Intelligence, 6, 6, 1287-1289.
https://doi.org/10.1109/TETCI.2022.3219539

Item is

Files

show Files
hide Files
:
Tang_2022_Guest_Editorial_Special_Issue_on_Computational_Intelligence_for_Perception_and_Decision-Making_of_Autonomous_Systems.pdf (Publisher version), 201KB
 
File Permalink:
-
Name:
Tang_2022_Guest_Editorial_Special_Issue_on_Computational_Intelligence_for_Perception_and_Decision-Making_of_Autonomous_Systems.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Tang, Yang1, Author
Yen, Gary G. 1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: The papers in this special section focus on computational intelligence for perception and decision making of autonomous systems. Due to powerful capabilities in environmental perception, real-time computing, and intelligent decision-making, autonomous systems have demonstrated their great potential to efficiently accomplish a variety of complex tasks that humans cannot. Hence, autonomous systems are able to facilitate the development of almost every walk of life and have attracted increasing attention from both academia and industry. However, given high dimensional, heterogeneous, unstructured, and unpredictable data sampled from different modalities of sensors, autonomous systems with conventional algorithms may fail to acquire the accurate information related to the environment, and make the appropriate decision to complete assigned tasks. Notice that recent advanced computational intelligence algorithms including deep neural networks and evolutionary algorithms have the unique ability to efficiently extract useful information from the multi-source heterogeneous data, and thus have been successfully applied in the fields of computer vision, natural language processing, and so on. Therefore, it is promising to have a thorough and tight integration between computational intelligence and autonomous systems by upgrading advanced and innovative computational intelligence algorithms to ensure high-level environmental perception and decision-making of autonomous systems.

Details

show
hide
Language(s): eng - English
 Dates: 2022-11-292022-12-01
 Publication Status: Finally published
 Pages: 3
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TETCI.2022.3219539
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: IEEE Transactions on Emerging Topics in Computational Intelligence
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 6 (6) Sequence Number: - Start / End Page: 1287 - 1289 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/2471-285X
Publisher: Institute of Electrical and Electronics Engineers (IEEE)