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140122 ||| eng |
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|a 9781461507857
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| 100 |
1 |
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|a Luna, Francesco
|e [editor]
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| 245 |
0 |
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|a Agent-Based Methods in Economics and Finance
|h Elektronische Ressource
|b Simulations in Swarm
|c edited by Francesco Luna, Alessandro Perrone
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| 250 |
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|a 1st ed. 2002
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| 260 |
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|a New York, NY
|b Springer US
|c 2002, 2002
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| 300 |
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|a XXXI, 306 p
|b online resource
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| 505 |
0 |
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|a List of Figures -- Preface -- Contributing Authors -- I a modest proposal -- 1 Prospect for an Economics Framework for Swarm -- II new tools -- 2 Automated Trading Experiments with MAML -- 3 VSB - Visual Swarm Builder - A Visual tool for Swarm Agent Based Environment -- 4 SWIEE - a Swarm Web Interface for Experimental Economics -- III financial applications -- 5 Contagion of Financial Crises un-der Local and Global Networks -- 6 Simulating Fractal Financial Markets -- 7 Growing Theories from the “Bottom Up”. A Simple Entry-Exit Model -- 8 Cognitive Agents Behaving in a Simple Stock Market Structure -- IV other contributions -- 9 Production Partnerships Formation with Heterogeneous Agents: a Simulation in SWARM -- 10 CasinoWorld:An Agent-based Model with Heterogeneous Risk Preferences and Adaptive Behavior -- 11 Search in Artificial Labour Markets: a Simulation Study
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| 653 |
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|a Finance
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| 653 |
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|a Quantitative Economics
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| 653 |
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|a Financial Economics
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| 653 |
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|a Econometrics
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| 700 |
1 |
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|a Perrone, Alessandro
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
0 |
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|a Advances in Computational Economics
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| 028 |
5 |
0 |
|a 10.1007/978-1-4615-0785-7
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-1-4615-0785-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 330.9
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| 520 |
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|a This second book on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their disci pline. It is encouraging to see such a clear example of Swarm helping to foster a community of users who rely on the Swarm framework for their own analyses. Swarm aims at legitimizing agent-based computer models as a tool for the study of complex systems. A further goal is that a common base framework will lead to the growth of user communities in specific areas of application. By providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community
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