TY  - BOOK
AU  - Li Calzi,Marco
AU  - Milone,Lucia
AU  - Pellizzari,Paolo
ED  - SpringerLink (Online service)
TI  - Progress in Artificial Economics: Computational and Agent-Based Models 
T2  - Lecture Notes in Economics and Mathematical Systems,
SN  - 9783642139475
AV  - HB144 
U1  - 330.0151 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Economics
KW  - Economics, Mathematical
KW  - Economics/Management Science
KW  - Game Theory/Mathematical Methods
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-13947-5
ER  -