Agent-Based Modeling: The Santa Fe Institute Artificial by Norman Ehrentreich

By Norman Ehrentreich

This booklet reconciles the lifestyles of technical buying and selling with the effective marketplace speculation. via examining a well known agent-based version, the Santa Fe Institute synthetic inventory industry (SFI-ASM), it reveals that after selective forces are vulnerable, monetary evolution can't ensure that merely the fittest buying and selling ideas will continue to exist. Its major contribution lies within the software of normal effects from inhabitants genetics that have largely been missed within the agent-based group.

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Agent-Based Modeling: The Santa Fe Institute Artificial Stock Market Model Revisited (Lecture Notes in Economics and Mathematical Systems)

This booklet reconciles the lifestyles of technical buying and selling with the effective industry speculation. by means of reading a well known agent-based version, the Santa Fe Institute man made inventory marketplace (SFI-ASM), it reveals that after selective forces are susceptible, monetary evolution can't make sure that in simple terms the fittest buying and selling ideas will live to tell the tale.

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Unlike most analytical models, an agent-based simulation does not produce theorems and existence proofs. It usually generates time series of state variables both on the agent level and on the macro level. However, one simulation run is just one particular realization of the potential infinite set of all possible realizations. To gain an understanding of the model behavior, researchers have to analyze the gen- 20 A commonly accepted formal definition of emergence in CAS does not yet exist to my knowledge.

Like deduction, it starts with explicit assumptions, but it does not prove theorems. The simulated data are then analyzed by means of indexinduction induction. But unlike induction, these data come from a specified rule set and not from real world observations. According to Popper [341], the long-standing debate about the problem of induction in science was initiated by David Hume in the eighteenth century. Because past evidence tells us only about past events, to base expectations about future events on them is simply irrational.

Since this natural rate hypothesis is inconsistent with a long-run trade-off between inflation and unemployment, it implies a vertical long-run Phillips curve. If the the monetary authorities increase the inflation rate, agents would soon begin to adjust their inflation expectations. Thus, instead of moving along a stable, negatively-sloped Phillips curve, the short-run Phillips curve shifts upwards, and after completion of the expectations adjustment process, the economy ends up with a higher inflation rate at the same equilibrium unemployment level.

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