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NONLINEAR MODELS FOR ECONOMIC DECISION PROCESSES

by Ionut Purica (Romanian Academy, Romania)

Table of Contents (24k)
Chapter 1: Introduction: Reasons for Writing this Book, a Decision Theory Approach (139k)

Using models, developed in one branch of science, to describe similar behaviors encountered in a different one, is the essence of a synergetic approach.

A wide range of topics has been developed including Agent-based models, econophysics, socio-economic networks, information, bounded rationality and learning in economics, markets as complex adaptive systems — evolutionary economics, multiscale analysis and modeling, nonlinear dynamics and econometrics, physics of risk, statistical and probabilistic methods in economics and finance.

This publication concentrates on process behavior of economic systems and building models that stem from Haken's, Prigogine's, Taylor's work as well as from nuclear physics models.

 
Contents:
  • Introduction: Reasons for Writing this Book, a Decision Theory Approach
  • Nonlinear Models for the Labour Market
  • Second Order Effects in Population Migration
  • Cities: Reactors for Economic Transactions
  • Considerations on the Reform in the Power Sector (Avoiding Chaos in the Path to an Optimal Market Structure)
  • A Model of Nonlinear Dynamics in the Implementation of Decisions for the Evolution of Energy Technologies
  • Nonlinear Effects in Knowledge Production
  • Institutional Structures as Benard–Taylor Processes
  • Oscillatory Processes in Economic Systems
  • Final Thoughts on a Different Way of Looking at Economic Process
 
Readership: Advanced undergraduates, graduate students and researchers in applied mathematics and physics, and economics.
 
 
176pp    Pub. date: Jan 2010  
ISBN:   978-1-84816-427-7
1-84816-427-0
   US$88 / £61

 


176pp    Pub. date: Jan 2010  
ISBN:   978-1-84816-428-4(ebook)
1-84816-428-9(ebook)
   US$114

 


 
 

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