Cognitive Agent-based Computing-I A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods /

Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Niazi, Muaz A. (Συγγραφέας), Hussain, Amir (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
Σειρά:SpringerBriefs in Cognitive Computation, 1
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02943nam a22005415i 4500
001 978-94-007-3852-2
003 DE-He213
005 20151031121134.0
007 cr nn 008mamaa
008 121030s2013 ne | s |||| 0|eng d
020 |a 9789400738522  |9 978-94-007-3852-2 
024 7 |a 10.1007/978-94-007-3852-2  |2 doi 
040 |d GrThAP 
050 4 |a RC321-580 
072 7 |a PSAN  |2 bicssc 
072 7 |a MED057000  |2 bisacsh 
082 0 4 |a 612.8  |2 23 
100 1 |a Niazi, Muaz A.  |e author. 
245 1 0 |a Cognitive Agent-based Computing-I  |h [electronic resource] :  |b A Unified Framework for Modeling Complex Adaptive Systems using Agent-based & Complex Network-based Methods /  |c by Muaz A Niazi, Amir Hussain. 
264 1 |a Dordrecht :  |b Springer Netherlands :  |b Imprint: Springer,  |c 2013. 
300 |a XIV, 55 p. 9 illus., 7 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Cognitive Computation,  |x 2212-6023 ;  |v 1 
520 |a Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this book is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks and epidemiological HIV. 
650 0 |a Medicine. 
650 0 |a Neurosciences. 
650 0 |a Computer science. 
650 0 |a Mathematics. 
650 0 |a Biophysics. 
650 0 |a Biological physics. 
650 0 |a Cognitive psychology. 
650 1 4 |a Biomedicine. 
650 2 4 |a Neurosciences. 
650 2 4 |a Computer Science, general. 
650 2 4 |a Mathematics, general. 
650 2 4 |a Cognitive Psychology. 
650 2 4 |a Biophysics and Biological Physics. 
700 1 |a Hussain, Amir.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789400738515 
830 0 |a SpringerBriefs in Cognitive Computation,  |x 2212-6023 ;  |v 1 
856 4 0 |u http://dx.doi.org/10.1007/978-94-007-3852-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBL 
950 |a Biomedical and Life Sciences (Springer-11642)