In complex systems, many different parts interact in non-obvious ways. Traditional research focuses on a few or a single aspect of the problem so as to analyze it with the tools available. To get an insight of phenomena that emerge from complex interactions, we need instruments that can analyze complex interactions of many partssimultaneously . Here, a simulator modeling different type of economiesis explored in regard to its power in visualizing quantitatively complex aspects affecting the economic dynamics. The main conclusions are: 1- Relative simple economic settings produce complex non-linear dynamics and therefore linear regressions are  unsuitable to capture complex economic dynamics; 2- Flexible pricing of goods by individual agents according to their micro-environment increases the health and wealth of the society, but price asymmetries between buyers and sellers have strong effects on the economic dynamics ; 3- Prices for goods conferring high risk long term benefits are not tracked efficiently by simple market forces. 4- Division of labor creates synergies that improve enormously the health and wealth of the society by increasing the efficient of economic activity. 5- Stochastic modeling might predict some aspects of real economies, but didactic games based based on it might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
In complex systems, many different parts interact in non-obvious ways. Traditional research focuses on a few or a single aspect of the problem so as to analyze it with the tools available. To get a better insight of phenomena that emerge from complex interactions, we need instruments that can analyze simultaneously complex interactions between many parts . Here, a simulator modeling different types of economies, is used to visualize complex quantitative aspects that affect economic dynamics. The main conclusions are: 1- Relatively simple economic settings produce complex non-linear dynamics and therefore linear regressions are often unsuitable to capture complex economic dynamics; 2- Flexible pricing of goods by individual agents according to their micro-environment increases the health and wealth of the society, but asymmetries in price sensitivity between buyers and sellers increase price inflation ; 3- Prices for goods conferring risky long term benefits are not tracked efficiently by simple market forces. 4- Division of labor creates synergies that improve enormously the health and wealth of the society by increasing the efficiency of economic activity. 5- Stochastic modeling improves our understanding of real economies, and didactic games based on them might help policy makers and non specialists in grasping the complex dynamics underlying even simple economic settings.
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an
a better
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complex interactions of many partssimultaneously
simultaneously complex interactions between many parts
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type of economiesis explored in regard to its power in visualizing quantitatively complex aspects affecting the
types of economies, is used to visualize complex quantitative aspects that affect
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Relative
Relatively
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often
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price asymmetries
asymmetries in price sensitivity
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have strong effects on the economic dynamics
increase price inflation
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high risk
risky
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efficient
efficiency
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might predict some aspects
improves our understanding
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but
and
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based on it
on them