This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 357
Type: Contributed
Date/Time: Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #307180
Title: The Inequality Process as an Evolutionary Algorithm
Author(s): John Angle*+
Companies: The Inequality Process Institute
Address: Post Office Box 215, Lafayette Hill, PA, 19444-0215,
Keywords: algorithm ; consumer finance ; evolutionary optimization ; particle system ; stochastic ; wealth and income
Abstract:

The Inequality Process (IP) is a stochastic particle system, the first one to be shown relevant to explaining the dynamics of income and wealth distributions. The IP is hypothesized to be human intra-species competition allocating niche (food, shelter, resources, in a word 'wealth') to members of the population more likely to expand the species' niche, that is, increase its wealth. Four items of evidence are presented that the IP is an evolutionary algorithm. The IP implies a way to mine consumer finance databases for prospects likely to have steady labor incomes in the future.


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