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Progress in Artificial Economics

Computational and Agent-Based Models

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Marco Li Calzi

    1. , Applied Mathematics, University Ca' Foscari Venice, Venezia, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Lucia Milone

    1. , Advanced School of Economics, University Ca' Foscari Venice, Venezia, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Paolo Pellizzari

    1. , Applied Mathematics, University Ca' Foscari Venice, Venezia, Italy

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    You can also search for this editor in PubMed   Google Scholar

  • Numerous step-by-step tutorials help the reader to learn quickly
  • A special chapter on next generation Flash prepares readers for the future
  • Includes ten tips on how to protect flash sites from hackers
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 645)

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xxiii
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  2. Markets and Trading

    1. Front Matter

      Pages 1-1
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    2. Agent’s Minimal Intelligence Calibration for Realistic Market Dynamics

      • Iryna Veryzhenko, Olivier Brandouy, Philippe Mathieu
      Pages 3-14

    3. Trading on Marginal Information

      • Florian Hauser, Bob Kaempff
      Pages 15-26

    4. Stylized Facts Study through a Multi-Agent Based Simulation of an Artificial Stock Market

      • Zahra Kodia, Lamjed Ben Said, Khaled Ghedira
      Pages 27-38

  3. Auctions

    1. Front Matter

      Pages 39-39
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    2. A Variable Bid Increment Algorithm for Reverse English Auction

      • Imène Brigui-Chtioui, Suzanne Pinson
      Pages 41-51

    3. Co-evolutionary Agents in Combinatorial Sealed-bid Auctions for Spectrum Licenses Markets

      • Asuncion Mochon, Yago Saez, Jose Luis Gomez-Barroso, Pedro Isasi
      Pages 53-63

    4. The Effect of Transaction Costs on Artificial Continuous Double Auction Markets

      • Marta Posada, Cesáreo Hernández
      Pages 65-74

  4. Networks

    1. Front Matter

      Pages 75-75
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    2. The Rise and Fall of Trust Networks

      • Kartik Anand, Prasanna Gai, Matteo Marsili
      Pages 77-88

    3. Simulations on Correlated Behavior and Social Learning

      • Andrea Blasco, Paolo Pin
      Pages 89-100

    4. Technology Shocks and Trade in a Network

      • Davoud Taghawi-Nejad
      Pages 101-112

  6. Industry Sectors

    1. Front Matter

      Pages 151-151
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    2. Information and Search on the Housing Market: An Agent-Based Model

      • John Mc Breen, Florence Goffette-Nagot, Pablo Jensen
      Pages 153-164

    3. Adaptation of Investments in the Pharmaceutical Industry

      • Tino Schütte
      Pages 165-176
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Keywords

About this book

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.

Editors and Affiliations

  • , Applied Mathematics, University Ca' Foscari Venice, Venezia, Italy

    Marco Li Calzi, Paolo Pellizzari

  • , Advanced School of Economics, University Ca' Foscari Venice, Venezia, Italy

    Lucia Milone

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