Complex Adaptive Systems Modeling (Record no. 189942)

MARC details
000 -LEADER
fixed length control field 03942nas a22003495i 4500
001 - CONTROL NUMBER
control field 2194-3206
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20180511105629.0
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||||||||gw uu poo|||||| b|EN |d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2194-3206
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/40294.2194-3206
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title Complex Adapt Syst Model
245 10 - TITLE STATEMENT
Title Complex Adaptive Systems Modeling
Medium [electronic resource] /
Statement of responsibility, etc. edited by Muaz A. Niazi.
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 ## - PHYSICAL DESCRIPTION
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. Complex Adaptive Systems Modeling (CASM) is a highly multidisciplinary modeling and simulation journal that serves as a unique forum for original, high-quality peer-reviewed papers with a specific interest and scope limited to agent-based and complex network-based modeling paradigms for Complex Adaptive Systems (CAS). The highly multidisciplinary scope of CASM spans any domain of CAS. Possible areas of interest range from the Life Sciences (E.g. Biological Networks and agent-based models), Ecology (E.g. Agent-based/Individual-based models), Social Sciences (Agent-based simulation, Social Network Analysis), Scientometrics (E.g. Citation Networks) to large-scale Complex Adaptive COmmunicatiOn Networks and environmentS (CACOONS) such as Wireless Sensor Networks (WSN), Body Sensor Networks, Peer-to-Peer (P2P) networks, pervasive mobile networks, service oriented architecture, smart grid and the Internet of Things. In general, submitted papers should have the following key elements:  A clear focus on a specific area of CAS E.g. ecology, social sciences, large scale communication networks, biological sciences etc.)  Either focus on an agent-based simulation model or else a complex network model based on data from CAS (e.g. Citation networks, Gene regulatory Networks, Social networks, Ecological Networks etc.). General guidelines for articles:  CASM has a strongly multidisciplinary editorial board and readership. Therefore authors need to be very careful that their articles have been written in a style that is comprehensible by a broad and multidisciplinary audience. Authors must avoid excessive usage of domain-specific jargon/terminologies without formally introducing these terms in the article. In addition, any concepts specific to a discipline must be explained in the article for the general readership of CASM. Thus, an article on Gene regulatory networks should be written with the goal that it may also be accessible to a number of social science researchers using Social Network Analysis and vice versa. Likewise an article written by Computer Scientists for Wireless sensor networks must also take into consideration CASM readership of researchers from Social and Biological Sciences and so on.  Authors are advised to use general terms (such as agent-based modeling and complex networks) instead of using domain-specific terms, wherever possible.  Submissions which are not in line with the above criteria or those which are of a purely or largely theoretical/Mathematical nature or have been written in a very domain specific manner or appear to have a limited audience may be considered as out of scope of CASM and rejected without review. For information regarding example topics and cover letter requirements, see Publication and peer review process, below.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations research.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision making.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer simulation.
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 Management science.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics.
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 Operations Research/Decision Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Simulation and Modeling.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Research, Management Science.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Niazi, Muaz A.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/40294.2194-3206">http://dx.doi.org/10.1007/40294.2194-3206</a>
Public note Open Access

No items available.