Progress in Artificial Economics Computational and Agent-Based Models /

Artificial economics aims to provide a generative approach to understanding problems in economics and social sciences. It is based on the consistent use of agent-based models and computational techniques. It encompasses a rich variety of techniques that generalize numerical analysis, mathematical pr...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Li Calzi, Marco. (Editor), Milone, Lucia. (Editor), Pellizzari, Paolo. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Lecture Notes in Economics and Mathematical Systems, 645
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13947-5
LEADER 02495nam a22004935i 4500
001 10885
003 DE-He213
005 20130725201551.0
007 cr nn 008mamaa
008 100825s2010 gw | s |||| 0|eng d
020 # # |a 9783642139475  |9 978-3-642-13947-5 
024 7 # |a 10.1007/978-3-642-13947-5  |2 doi 
050 # 4 |a HB144 
072 # 7 |a PBUD  |2 bicssc 
072 # 7 |a KCH  |2 bicssc 
072 # 7 |a BUS069000  |2 bisacsh 
072 # 7 |a MAT011000  |2 bisacsh 
082 0 4 |a 330.0151  |2 23 
082 0 4 |a 330  |2 23 
100 1 # |a Li Calzi, Marco.  |e editor. 
245 1 0 |a Progress in Artificial Economics  |b Computational and Agent-Based Models /  |c edited by Marco Li Calzi, Lucia Milone, Paolo Pellizzari.  |h [electronic resource] : 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 # # |a XXIV, 264p. 108 illus.  |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 Lecture Notes in Economics and Mathematical Systems,  |v 645  |x 0075-8442 ; 
505 0 # |a Part I: Markets and Trading -- Part II: Auctions -- Part III: Networks -- Part IV: Management -- Part V: Industry Sectors -- Part VI: Macroeconomics -- Part VII: Demographics and Culture. 
520 # # |a Artificial economics aims to provide a generative approach to understanding problems in economics and social sciences. It is based on the consistent use of agent-based models and computational techniques. It encompasses a rich variety of techniques that generalize numerical analysis, mathematical programming, and micro-simulations. The peer-reviewed contributions in this volume address applications of artificial economics to markets and trading, auctions, networks, management, industry sectors, macroeconomics, and demographics and culture. 
650 # 0 |a Economics. 
650 # 0 |a Economics, Mathematical. 
650 1 4 |a Economics/Management Science. 
650 2 4 |a Game Theory/Mathematical Methods. 
700 1 # |a Milone, Lucia.  |e editor. 
700 1 # |a Pellizzari, Paolo.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642139468 
830 # 0 |a Lecture Notes in Economics and Mathematical Systems,  |v 645  |x 0075-8442 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13947-5 
912 # # |a ZDB-2-SBE 
950 # # |a Business and Economics (Springer-11643)