GHU Logo
The Great Heights University Library
Academic discovery, digital access, and research support

New Generation Computing (Record no. 4202)

MARC details
000 -LEADER
fixed length control field 04660nas a22003615i 4500
001 - CONTROL NUMBER
control field 1882-7055
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082530.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150723s||||||||ja uu poo|||||| b|EN |d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1882-7055
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/354.1882-7055
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title New Gener. Comput.
245 10 - TITLE STATEMENT
Title New Generation Computing
Medium [electronic resource] /
Statement of responsibility, etc. edited by Yutaka Matsuo, Masayuki Numao.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Tokyo :
Name of producer, publisher, distributor, manufacturer Springer Japan :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process. Areas Learning: Foundations and Models of Learning, Computational Learning Theory, Grammatical Inference, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning Data Mining: Fundamental Data Mining Methods (e.g. Frequent Pattern Mining, Stream Data Mining, Graph and Network Mining, Relational Data Mining), Text and Web Mining, Statistical Methods for Data Mining, Machine Learning Methods for Data Mining, Visualization Methods for Data Mining, Practical Applications of Data Mining, Data Mining across Cyberspace and Real Space, Ethics of Data Mining (e.g. Bias, Fairness, Privacy, Social Acceptability), Data Mining to Solve Social Issues (e.g. Climate Change, Declining Birthrate and Aging Population, Cyber Warfare) Cognitive Computing: Modeling Human Knowledge, Modeling Human Problem Solving and Learning, Semantic Computing, Modeling and Analyzing Decision Making, Cognitive Architecture, Artificial General Intelligence, Human Level AI. Programming and Semantics: Foundations and Models of Computation, Computational Logic, Programming Systems, Declarative Programming, Concurrency and Parallelism, Quantum Computing. Control Theory of Bio- and Nano-systems: Formal Models of Molecular Systems, Computation by Token-based Systems, Non-Boolean Representations of Signals in Nature, Cellular Automata Based on Mechanisms Found in Nature. Bio/Nano/Molecular Computing and Engineering: Molecular Robotics & Artificial Cells, DNA Nanoengineering, Molecular Computing/Programming, Self-organizing Systems. Skill Science and Philosophy: Skills and Knowledge in Life, Communication and Social Skills, Learning of Embodied Skills and Knowledge, “Kansei" and Value Creation, Sports Science, Measurement and Analysis of Body Movements, Systems Theory of Body, Cognitive Approach of Skill Science, Subjective Verbalization of Proprioceptive Sense, Co-evolution of Body and Language, Symbol Grounding, Symbol Generation Computational Social Science: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems, Social Simulation, Virtual Lab AI to Fight COVID-19 and Other Pandemics: Infectious Disease Forecasting including Effects of Confinements and Vaccination, AI for Increasing Epidemic Preparedness in Public Health, for the Detection of Diseases and in Genome Sequencing, Role of AI in Contact Tracing, AI-Assisted Testing, Generating Recommendations for Individuals' Health, Situation Awareness, Sentiment Analysis and Trustworthiness of Information during Epidemics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer networks .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software engineering.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Hardware.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Engineering and Networks.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Software Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Matsuo, Yutaka.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Numao, Masayuki.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed version:
International Standard Serial Number 0288-3635
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/354.1882-7055">https://doi.org/10.1007/354.1882-7055</a>
Public note Hybrid

No items available.