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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Li Calzi, Marco (Επιμελητής έκδοσης), Milone, Lucia (Επιμελητής έκδοσης), Pellizzari, Paolo (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Economics and Mathematical Systems, 645
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Progress in Artificial Economics  |h [electronic resource] :  |b Computational and Agent-Based Models /  |c edited by Marco Li Calzi, Lucia Milone, Paolo Pellizzari. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XXIV, 264 p. 108 illus.  |b online resource. 
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490 1 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 645 
505 0 |a Markets and Trading -- Agent’s Minimal Intelligence Calibration for Realistic Market Dynamics -- Trading on Marginal Information -- Stylized Facts Study through a Multi-Agent Based Simulation of an Artificial Stock Market -- Auctions -- A Variable Bid Increment Algorithm for Reverse English Auction -- Co-evolutionary Agents in Combinatorial Sealed-bid Auctions for Spectrum Licenses Markets -- The Effect of Transaction Costs on Artificial Continuous Double Auction Markets -- Networks -- The Rise and Fall of Trust Networks -- Simulations on Correlated Behavior and Social Learning -- Technology Shocks and Trade in a Network -- Management -- The (Beneficial) Role of Informational Imperfections in Enhancing Organisational Performance -- Social Interactions and Innovation: Simulation Based on an Agent-Based Modular Economy -- Threshold Rule and Scaling Behavior in a Multi-Agent Supply Chain -- Industry Sectors -- Information and Search on the Housing Market: An Agent-Based Model -- Adaptation of Investments in the Pharmaceutical Industry -- An Agent-Based Information Management Model of the Chinese Pig Sector -- Macroeconomics -- Wealth Distribution Evolution in an Agent-Based Computational Economy -- Endogenous Credit Dynamics as Source of Business Cycles in the EURACE Model -- Reinforcement Learning of Heterogeneous Private Agents in a Macroeconomic Policy Game -- Demographics and Culture -- Towards an Agent-Based Model of the Economic Development Process: The Dynamics of the Fertility Rate -- An Agent-Supported Simulation of Labour and Financial Markets for Migration Processes -- Sensitivity Analysis of an Agent-Based Model of Culture’s Consequences for Trade. 
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 Economic theory. 
650 0 |a Econometrics. 
650 1 4 |a Economics. 
650 2 4 |a Econometrics. 
650 2 4 |a Economic Theory/Quantitative Economics/Mathematical Methods. 
700 1 |a Li Calzi, Marco.  |e editor. 
700 1 |a Milone, Lucia.  |e editor. 
700 1 |a Pellizzari, Paolo.  |e editor. 
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776 0 8 |i Printed edition:  |z 9783642139468 
830 0 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 645 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-13947-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
950 |a Business and Economics (Springer-11643)