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Memetic Computing (Record no. 4478)

MARC details
000 -LEADER
fixed length control field 03494nas a22004455i 4500
001 - CONTROL NUMBER
control field 1865-9292
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082534.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1865-9292
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/12293.1865-9292
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title Memetic Comp.
245 10 - TITLE STATEMENT
Title Memetic Computing
Medium [electronic resource] /
Statement of responsibility, etc. edited by Chuan-Kang Ting, Steven Gustafson, Yew-Soon Ong.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin/Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. Many instances of research in computer science and artificial intelligence (AI) draw inspiration from metaphorical real-world physical and biological systems. Notwithstanding, cultural evolution embodies memes as basic units of transferable information within the mental faculty and propagate across populations through imitation and adaptation. Algorithmically, they are essentially knowledge building blocks expressed in various computational representations (e.g., heuristics, simple or fuzzy logic, decision trees, artificial neural models, probability distributions, etc.). Extending and generalizing the genetic metaphor for evolutionary optimization, these representations are acquired through human or machine experience and can be exploited through imitation and adaptation, significantly enhancing the effectiveness of problem-solving systems. The emergence and advancement in machine learning has transformed the scientific landscape of algorithmics and AI into a symbiotic embodiment which is consistent with the conceptual ideology of memetic computing. This has shifted the perception of multiple competing "paradigms" to the idea that an algorithm can seamlessly blend multiple heterogeneous elements within a problem-solving framework. In this context, most modern machine learning algorithms implicitly and explicitly embrace the philosophy of memetic computing. This journal publishes original research articles focusing on algorithmic aspects and innovative implementations of machine learning and AI, with an interest in both exact and heuristic approaches. Review articles offering original insights into the current state-of-art research as well as forward looking research developments are also welcome. Additionally, interesting real-world applications that perpetuate the notion of knowledge as building blocks acquired within an AI foundational framework are encouraged.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering—Data processing.
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 System theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Control engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Robotics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical and Computational Engineering Applications.
650 24 - 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 Complex Systems.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Control, Robotics, Automation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bioinformatics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Applications of Mathematics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ting, Chuan-Kang.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gustafson, Steven.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ong, Yew-Soon.
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 1865-9284
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/12293.1865-9292">https://doi.org/10.1007/12293.1865-9292</a>
Public note Hybrid

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