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--- geopro:pedro:models [2008/04/03 13:36] – pedro
+++ geopro:pedro:models [2008/06/20 19:16] (atual) – pedro
@@ Linha 1: / Linha 1: @@
 ====== Agent-Based Models ======
+====An agent-based computational study of wealth distribution in function of resource growth interval using NetLogo====
+|R Damaceanu, 2008| Applied Mathematics and Computation 201:371–377| [[http://www.leg.ufpr.br/~pedro/papers/amc/wealth-distribution-resource-growth.pdf|pdf]]|
+\\
+**Abstract:** We describe an agent-based computational model that simulates the distribution of wealth in three classes: upper, middle and lower. The experimental data show us that: (1) the wealth of economy based on renewable resources is increasing if
+the resource growth interval is decreasing with the condition that the other factors remained unchanged; (2) the wealth of
+an economy based on renewable resources is higher in comparison with the wealth of an economy based on nonrenewable
+resources. This conclusion stresses the fact that the global economy must focus on using renewable resources because this
+approach may increase the global wealth.
+\\
+====Policy analysis from first principles====
+|S Moss, 2002| PNAS 99(3)7267–7274| [[http://www.leg.ufpr.br/~pedro/papers/pnas/policy-analysis-moss.pdf|pdf]]|
+{{  http://www.leg.ufpr.br/~pedro/figures/moss-sales-grid-size.jpg}}
+\\
+**Abstract:** The argument of this paper is predicated on the view that social
+science should start with observation and the specification of a
+problem to be solved. On that basis, the appropriate properties and
+conditions of application of relevant tools of analysis should be
+defined. Evidence is adduced from data for sales volumes and
+values of a disparate range of goods to show that frequency
+distributions are commonly fat-tailed. This result implies that **any
+stable population distribution will generally have infinite variance
+and perhaps undefined mean**. Models with agents that reason
+about their behavior and are influenced by, but do not imitate,
+other agents known to them will typically generate fat-tailed time
+series data. A simulation model of intermediated exchange is
+reported that is populated by such agents and yields the same type
+of fat-tailed time series and cross-sectional data that is found in
+data for fast moving consumer goods and for retail outlets. This
+result supports the proposition that **adaptive agent models of
+markets with agents that reason and are socially embedded have
+the same statistical signatures as real markets**. Whereas this
+statistical signature precludes any conventional hypothesis testing
+or forecasting, these models do offer unique opportunities for
+validation on the basis of domain expertise and qualitative data.
+Perhaps the most striking conclusion is that neither current social
+theory nor any similar construct will ever support an effective
+policy analysis. However, adaptive agent modeling is an effective
+substitute when embedded in a wider policy analysis procedure.
+\\
+====Constructing and Implementing an Agent-Based Model of Residential Segregation through Vector GIS====
+|A. T. Crooks, 2008| UCL Working Paper 133| [[http://www.leg.ufpr.br/~pedro/papers/abm-segregation-gis.pdf|pdf]]|
+\\
+**Abstract: ** In this paper, we present a geographically explicit agent-based model, loosely
+coupled with vector GIS, which explicitly captures and uses geometrical data and
+socio economic attributes in the simulation process. The ability to represent the
+urban environment as a series of points, line and polygons not only allows one to
+represent a range of different sized features such as houses or larger areas portrayed
+as the urban environment but is a move away from many agent-based models
+utilising GIS which are rooted in grid-based structures. We apply this model to the
+study of residential segregation, specifically creating a Schelling (1971, 1978) type
+of model within a hypothetical cityscape, thus demonstrating how this approach can
+be used for linking vector-based GIS and agent-based modelling. A selection of
+simulation experiments are presented, highlighting the inner workings of the model
+and how aggregate patterns of segregation can emerge from the mild tastes and
+preferences of individual agents interacting locally over time. Furthermore, the
+paper suggests how this model could be extended and demonstrates the importance
+of explicit geographical space in the modelling process.
+\\
 ====Is Religion an Evolutionary Adaptation?====
@@ Linha 621: / Linha 696: @@
 Each agent has a constant level of honesty and a risk-aversion level that changes over time.
 No interesting conclusions.
 ====Multi-agent simulation of group foraging in sheep: effects of spatial memory, conspecific attraction and plot size====