Sugar and Agents (the basics) Patches = Sugar Level, Capacity, Growback rule (G α ) Turtles = Agents Fixed: Metabolism, Vision Variable: Location, Sugar.

Slides:



Advertisements
Similar presentations
Income and Wealth Distribution
Advertisements

Inequalities and Wealth exchanges in a dynamical social network José Roberto Iglesias Instituto de Física, Faculdade de Ciências Económicas, U.F.R.G.S.,
Income Inequality in the United States,
Chapter 4 – Sugar & Spice – Trade Comes to Sugarscape.
Applications of Cellular Automata in the Social Sciences Eileen Kraemer Fres1010 University of Georgia.
Networks. Graphs (undirected, unweighted) has a set of vertices V has a set of undirected, unweighted edges E graph G = (V, E), where.
SugarScape By Mitch Quinn
Chapter 10. Lorenz Curve and Gini Coefficient Measure distribution of thing your interested in. E.g.   Share of largest firms in an oligopolistic industry,
Fig Graph of absolute pressure versus temperature for a constant-volume low- density gas thermometer.
Income Inequality. Poverty Absolute or relative concept? Basket of goods sufficient for basic needs –Normative concept World Bank traditional uses $1.
Probability Distributions
Agent-based model of a simple stable economy Alexandre Lomovtsev Adviser: Dr. Russ Abbott.
Artificial Life - Sugarscape By Dan Miller. What is meant by being alive? You breathe air? You act independently? Being alive is essentially a matter.
Simulated dataset from Ph.D. work of Alexander Statnikov September 2007.
Exploring Wealth Distribution Through Sugarscape Jordan Albright.
Chapter 14 Inequality in Earnings. Copyright © 2003 by Pearson Education, Inc.14-2 Figure 14.1 Earnings Distribution with Perfect Equality.
The Distribution of Wealth and Income. Poverty A relative term that compares what personal wealth people have in a given area.
Markets and Supply Overheads. Competitive agents A buyer or seller (agent) is said to be competitive if the agent assumes or believes that the market.
Social Studies Connecting Themes Enduring Understandings.
Teaching Contemporary Mathematics Conference January 25, 2013 Christine Belledin NC School of Science and Mathematics.
Information Networks Power Laws and Network Models Lecture 3.
Economics Wealth and Poverty (social welfare) Alex Yang Eric Hsieh Period 4.
ROC 1.Medical decision making 2.Machine learning 3.Data mining research communities A technique for visualizing, organizing, selecting classifiers based.
Copyright © by Houghton Mifflin Company. All rights reserved. 1 Measuring the Income Distribution Describing the income distribution. The Lorenz Curve.
Sugarscape Andy Menke. Agent Based Modeling Simple agents = complex behavior Boids.
Prof. Lars-Erik Cederman Center for Comparative and International Studies (CIS) Seilergraben 49, Room G.2, Nils Weidmann,
Unit 5 – Market Failure and the Role of Government Income Inequality: The Lorenz Curve, The Gini Coefficient, Taxation.
Chapter 10. Lorenz Curve and Gini Coefficient Measure distribution of thing your interested in. E.g.   Share of largest firms in an oligopolistic industry,
Simulation in Islamic Economics Sami al-Suwailem IRTI, IDB Group Thul Kiadah 1428H -- November 2007G Sami al-Suwailem IRTI, IDB Group Thul Kiadah 1428H.
Multi-Agent Modeling of Societal Development and Cultural Evolution Yidan Chen, 2006 Computer Systems Research Lab.
Measurement of income distribution. Income distribution Income distribution refers to the way the nation’s “income cake” is divided or shared between.
Chapter 5.2 Evaluate & Graph Polynomial Functions #35 "In mathematics, you don't understand things. You just get used to them." -- Johann von Neumann.
New Mexico Computer Science For All Creating Turtles Maureen Psaila-Dombrowski.
Emergence in Artificial Societies Evolving Communication and Cooperation in a Sugarscape world by Pieter Buzing.
Sex, Culture and Conflict: The Emergence of Proto-History on the Sugarscape Sajeev P. Cherian BIT 885 Class Presentation Ross School of Business University.
How free markets create & divide wealth
6-3 P ROPERTIES OF EXPONENTS. L AWS OF E XPONENTS Product rule: Add exp. Power of a power rule: Mult. Exp. Power of a product rule: Distribute (1) (2)
How free markets create & divide wealth
Measure distribution of thing your interested in. E.g.  Share of largest firms in an oligopolistic industry, e.g share of top eight, sixteen etc  distribution.
Notes Over 4.3 Evaluate Determinants of 2 x 2 Matrices
Social Welfare on the Sugarscape and Its Paradox Li Wang Ross School of Business University of Michigan Ann Arbor, MI.
Economic Inequality and Development Barbara Liberda University of Warsaw, Faculty of Economics 18 October 2011.
Section If the demand function is d (x) = x dollars, find the consumers’ surplus at the demand level of x = 100. d (100) = 2800 so Consumers’
The Distribution of Wealth and Income. Poverty A relative term that compares what personal wealth people have in a given area.
L – Modeling and Simulating Social Systems with MATLAB
2 Understanding Variables and Solving Equations.
The number of times a number or expression (called a base) is used as a factor of repeated multiplication. Also called the power. 5⁴= 5 X 5 X 5 X 5 = 625.
Solve for variable 3x = 6 7x = -21
1.4 Basic Rules of Algebra.
ALGEBRA MODELLING ACTIVITY ONE.
Hands-On given by Gabriel Wurzer and Wolfgang E. Lorenz
Illustrations of Simple Cellular Automata
Multiplying Polynomials
Pedro Andrade Gilberto Câmara
Income Distribution.
The Watts-Strogatz model
Lesson 13-3: Determinants & Cramer’s Rule
The regression model in matrix form
Hiroki Sayama NECSI Summer School 2008 Week 2: Complex Systems Modeling and Networks Cellular Automata Hiroki Sayama
Poverty and Income Distribution
Exploring Wealth Distribution Through Sugarscape
TE2: Combining Like Terms
Solving Equations by Combining Like Terms
2.7 The Distributive Property
1.2 Distributive Property & Combining Like Terms
Simplify by combining like terms
World-wide distributions: full set
Exploring Artificial Societies through Sugarscapes
Modeling the Effects of Disasters on a Human Population and Resources
GAS LAWS.
Presentation transcript:

Sugar and Agents (the basics) Patches = Sugar Level, Capacity, Growback rule (G α ) Turtles = Agents Fixed: Metabolism, Vision Variable: Location, Sugar holdings Movement rule (M)

Society Under {G,M} Netlogo – Sugarscape 1 – Immediate growback Natural Selection Hanging out on the edge Under {G 1,M} Netlogo – Sugarscape 2 – Constant growback Natural Selection – more pronounced Hiving behavior

Wealth Distribution Add a rule: Replacement (R [a,b] ) Lorenz Curve and Gini Coefficient Lorenz CurveGini Coefficient Paretos law in action Wealth under {G 1,M, R [60,100] } Symmetric Poverty-skewed

Social Networks Neighbor connection network von Neumann (4) / Moore (8) neighborhoods Netlogo model?

Migration Migration under {G 1,M} Netlogo model Netlogo Emergence – diagonal waves! Seasonal migration under {S αβγ,M} Hibernators and Migrators Pollution under {G 1, P αβ, D α,M} Pollution only – forced off mountains, starvation Diffusion – living on the edges, making things worse