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Agent-based methods in economics and finance : simulations in Swarm / edited by Francesco Luna and Alessandro Perrone.
Lippincott Library HB143.5 .A44 2002
Available
- Format:
- Book
- Series:
- Advances in computational economics ; v. 17.
- Advances in computational economics ; v. 17
- Language:
- English
- Subjects (All):
- Economics--Computer simulation.
- Economics.
- Economics--Mathematical models.
- Physical Description:
- xviii, 306 pages : illustrations ; 24 cm.
- Place of Publication:
- Boston : Kluwer Academic Publishers, [2002]
- Contents:
- I.1 Evolution and continuity in a competitive environment xxvii
- Part I A modest proposal ...
- 1 Prospect for an Economics Framework for Swarm / Charlotte Bruun 3
- 1.2 Swarm and the Tower of Babel 4
- 1.3 What's in a Framework? 12
- 1.4 Collecting Building Blocks for a Framework for Economics 15
- 1.5 An Economics Framework 23
- 1.6 Testing our virtual framework 26
- Part II New tools
- 2 Automated Trading Experiments with MAML / Laszlo Gulyas, Tibor Vincze 39
- 2.2 Agents that Negotiate 40
- 2.3 The Multi-Agent Modeling Language 44
- 2.4 Preliminary Results 55
- 3 VSB - Visual Swarm Builder - A Visual tool for Swarm Agent Based Environment / Alessandro Perrone, Marco Tenuti 63
- 3.2 The Visual Swarm Builder - A Short Overview 66
- 3.3 Working with VSB 67
- 3.4 Tutorial - Examples with VSB 76
- 3.5 The goal of using a tool like VSB 84
- 3.6 Future Works 84
- 4 SWIEE - a Swarm Web Interface for Experimental Economics / Riccardo Boero 87
- 4.2 SWIEE Basics 89
- 4.3 The Prisoner's Dilemma 95
- 4.4 Making Experiments on the Internet 103
- 4.5 Future Developments 105
- Part III Financial applications
- 5 Contagion of Financial Crises un- der Local and Global Networks / Alessandra Cassar, Nigel Duffy 111
- 5.2 The Bank Avalanche Model 114
- 5.3 Financial Crises on Networks 118
- 5.4 Model Implementation in Swarm 121
- 6 Simulating Fractal Financial Markets / Marco Corazza, Alessandro Perrone 133
- 6.1 Introduction and motivations 134
- 6.2 Fractal probability laws for financial asset returns 137
- 6.3 Basics for a possible fractal financial economics 140
- 6.4 The market dynamical model 143
- 6.5 The agent-based approach 146
- 6.6 Concluding remarks and open questions 152
- 7 Growing Theories from the "Bottom Up". A Simple Entry-Exit Model / Domenico Delli Gatti, Mauro Gallegati, Roberto Leombruni 157
- 7.2 The base model 159
- 7.3 Simulations 170
- 8 Cognitive Agents Behaving in a Simple Stock Market Structure / Pietro Terna 187
- 8.2 "Minded" or "no minded" agents in our models 190
- 8.3 The artificial experiment environment 191
- 8.4 Basic runs: random agents only 195
- 8.5 Introducing other types of agents 198
- 8.6 Agents applying ANN estimates of future prices 203
- 8.7 A mixed basic case, with stop loss agents and agents applying ANN estimates 207
- 8.8 The structure of the CT cognitive agents 207
- 8.9 The behavior of the CT cognitive agents 219
- Part IV Other contributions
- 9 Production Partnerships Formation with Heterogeneous Agents: a Simulation in Swarm / Davide Fiaschi, Nicolas Garrido, Pier Mario Pacini 231
- 9.2 The model 234
- 9.3 Simulation framework 238
- 9.4 Swarm implementation 240
- 9.5 Numerical experiments 243
- Appendix Genetic Algorithms 258
- A.1 Encoding 259
- A.2 Selection 259
- A.3 Cross-over 259
- A.4 Mutation 259
- A.5 Setting of the parameters in the simulations 260
- 10 Casino World: An Agent-based Model with Heterogeneous Risk Preferences and Adaptive Behavior / Michael Harrington, Darold Higa 263
- 10.2 Standard Economic Models of Human Behavior 265
- 10.3 A More Refined Model of Human Behavior 268
- 10.4 Casino World - The Basic Model 271
- 10.5 The Play 272
- 10.6 Adaptive Strategies 273
- 10.7 Results 274
- 10.8 Future Developments 277
- 11 Search in Artificial Labour Markets: a Simulation Study / Massimo Daniele Sapienza, Magda Fontana 283
- 11.2 An overview of the literature: building blocks 285
- 11.3 An artificial labour market: Labour Sim 286
- 11.4 The model 286
- 11.5 The Benchmark 288
- 11.6 The Labour Net as an artificial labour market 292
- 11.7 Simulations 294
- 11.8 Learning and skill mismatch effects 301.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 0792374193
- OCLC:
- 47849429
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