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Norman Ehrentreich's Agent-Based Modeling: The Santa Fe Institute Artificial PDF

By Norman Ehrentreich

ISBN-10: 3540738789

ISBN-13: 9783540738787

ISBN-10: 3540738797

ISBN-13: 9783540738794

From the reviews:

"The e-book lower than evaluate is a crucial and cautious research of a few of the problems inquisitive about the workings of the SFI inventory marketplace. … in my view, Ehrentreich’s booklet is a superb connection with either the educational, and empirical literature in finance." (Krzysztof Piasecki, Zentralblatt MATH, Vol. 1141, 2008)

"Norman Ehrentreich was once one of many bold few to tackle the version, and he has summarized his paintings and findings during this very good publication. … it really is important primer for somebody drawn to getting begun within the zone of agent-based finance. … it really is crucial examining for a person drawn to the dynamics of the SFI industry particularly, yet I additionally suggest it for others as an invaluable source on agent-based monetary industry layout as well." (Blake LeBaron, magazine of synthetic Societies and Social Simulation, Vol. 12 (2), March, 2009)

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Additional resources for Agent-Based Modeling: The Santa Fe Institute Artificial Stock Market Model Revisited

Sample text

While replicator dynamics are extensively used in game theory, genetic algorithms or classifier systems are widely used in agent-based simulations. 2 Definitions of Learning Modeling learning processes requires us to define learning more precisely. In the psychological literature, a behaviorist approach is usually taken. Burrhus F. Skinner, perhaps the most famous among the behaviorists, defines learning as a “change in probability of response” [399, p. 199]. Kimble set forth a widely accepted definition according 30 4 Learning in Economics to which “learning is a relatively permanent change in a behavior potentiality which occurs as a result of reinforced practice” [219, p.

While Darwinism has by now made substantial inroads into economics, more than 100 years earlier, Thorstein Veblen [429] expressed dismay that economics had not become an evolutionary science yet. The term replicator equations for Fisher’s selection equation was suggested by Schuster and Sigmund [383], who pointed out the close relationship to the concept of replicators which Richard Dawkins [90] proposed in 1976. Replicators refer to a collection of molecules capable of either producing a copy of themselves, or replicating by using raw materials either from themselves or from other sources.

The application of “Darwinism” to economics and the use of biological analogies, however, is vehemently defended by Hodgson [181]. 1 Learning Through Replicator Dynamics In the marginalism debate, Alchian [3] and Friedman [140] suggested that irrational behavior would be driven out of the market. In a way, they must have considered markets to act as efficient evaluation and selection mechanisms. In modern evolutionary economics, their competitive argument could be modeled through what is now known as replicator equations8 [383].

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Agent-Based Modeling: The Santa Fe Institute Artificial Stock Market Model Revisited by Norman Ehrentreich

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