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Modeling Adaptive Economic Agents With PID Controllers

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dc.contributor.advisor Axtell, Robert L.
dc.contributor.author Carrella, Ernesto
dc.creator Carrella, Ernesto
dc.date.accessioned 2015-09-14T14:20:17Z
dc.date.available 2015-09-14T14:20:17Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/1920/9862
dc.description.abstract I provide here a counterpoint to the rational agents that dominate economics: rather than adding rigidities and information limits on an otherwise classical feed-forward agent, I build a new feed-back agent that achieves equilibrium without knowledge of the model or the market it is in.
dc.format.extent 125 pages
dc.language.iso en
dc.rights Copyright 2015 Ernesto Carrella
dc.subject Economics
dc.subject Computer science
dc.subject Statistics
dc.subject Agent-Based Models
dc.subject Economic Simulations
dc.subject Macro-Economics
dc.subject Micro-Economics
dc.subject PID Controllers
dc.title Modeling Adaptive Economic Agents With PID Controllers
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Social Science en
thesis.degree.grantor George Mason University en


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    Seeking to understand the human mind: how it came to be, how it relates to the electrochemical activities of networks of nerve cells in the brain, how it can be modeled on computers, and how it is a vital component of what we are.

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