Recommended Games
With SD0
you can explore the behaviour of a moneyless economy (only
altruists) and evidence the synergies that arise from division
of labor as compared to economies run by omnipotent agents.
With SD2 you
can explore the effect of some variabes: You can play it in
solitary or in pairs.
Solitaire:
Find
the optimal conditions of the variables, fixing the amount of
minerals and food for different run times.
Find
the optimal conditions of the variables, fixing the amount
and price of minerals for different run times.
Design
a temporary program in the value of the variables to optimize
vital wealth and welfare simultaneously. Optimum = average
life * (amount of mineral + amount of food)
Two players:
A
player sets economic variables minerals, other economic
variables fixed meal. Farmers and miners competing to get the
most of your resource (Food and minerals, respectively).
World Competition
Be recognized as the best
gamer in the World (Emperor, Sultan, King, President or
Chancellor of Sociodynamica) by sending the combination of
variables that optimize the game for 60 # areas of Minerals
and 90 # areas of Food. Send your chosen values to cee-usb.ve
with your name. Tournaments with 100 randomly selected
scenarios will update the winner every month.
With SD3
you can design and execute your own experiments by exploring
the effect of different variables on the accmulation of
resources, prices and the average life-expetancy of ach type
of agents. If you want to go back to the initila defoult
values, press RST.
Sociodynamica
(detailed description)
Input data:
The left vertical bar allows
to input the parameters for the simulation using the slider
controls. The first is the "Contact radius”, or the
radius of the area where the agent can perform commercial
transactions. The second indicates the amount to be used for
the "Price adjustment" after a failed transaction,
where 0 is used to simulate fixed controlled prices. The third
variable is a 'check-box' or control to chose whether
"Division of labor" will be simulated. That is,
whether all agents have the same characteristics (they are all
Omnipotent), or the roles as a Farmer, Miner or Trader are
performed by different agents. Farmer can only collect food,
Miners collect only minerals and Traders trade but do not
collect any resource. Then there are two sets of controls: one
for "Minerals" and another for "Food". In
each case you can set the starting “Price” of the
resource; the minimum amount of resource that is never traded
because it is maintained as a "Reserve" by the
agents; and the number of "areas" that contain the
resource.
Displaying the
Simulation
In the simulation, areas
with food and minerals are shown in orange and blue
respectively. These are randomly generated in each simulation
according to the "# areas of food and minerals"
defined in the input data. A button allows you to "Create"
a new simulation scenarios whenever you want, and another one
allows you to "Run" or "Stop" the
simulation. In "Steps"the number of iterations
performed in the simulation is shown.
Viewing Results
On the right side of the
screen three graphs summarize the relevant average parameters
for all active agents shown. The figures for food are in
orange and blue (yellow) figures correspond to minerals. The
first chart from top to bottom, shows the accumulated wealth
for food and minerals at the end of each iteration. The second
chart shows the average price of food and minerals used b
agents in their commercial interactions. The third figure
shows the average age of the surviving agents (low average age
is due to high mortality).
Description
Each agent at birth has 10
units of money, and as much wealth in minerals and food. It is
located in a randomly selected place and does not move. When
the coordinates coincide with a food source or mineral
resource, the agents may collect 2 units in each iteration.
The resources are inexhaustible. Baseline consumption for each
agent for both mineral and food is 1 unit for each iteration.
If the agent is left without food or mineral, it dies and
their values are discarded. If the agent remains alive and has
an excess supply of food and/or minerals, it look for
neighbors in the "Radio contact" for commercial
transactions. In each transaction it tries to buy/sell under
the following conditions:
- Food, if the seller is
omnipotent and buyer is omnipotent.
- Food, if the seller is a
farmer and the buyer is a miner or trader.
- Food, if the seller is a
trader and the buyer is a miner.
- Minerals, if the seller is
omnipotent and buyer is omnipotent.
- Minerals, if seller is a
miner and the buyer a farmer or trader.
- Minerals are sold by
trader to farmers and other traders.
The transaction is
completed if the seller has more goods than it has in reserve,
if the buyer has enough money and if the price at which the
seller is willing to sell is less than or equal to the price
the buyer is willing to pay. In this case, goods between
seller and buyer are exchanged: the seller's resource maney is
increased and that of the buyer decreased. The simulation
shows the aggregate amount of food and minerals held by
agents. The agent's width is proportional to the square root
of it food. The height of the agent is proportional to the
square root of its mineral wealth.
When simulation altrusits,
each collector of a given product donates to an agents within
their contact radius that has less than half the amount of the
given resource 2 units of it.
Market Rules
If a commercial transaction
failed, prices are adjusted: Te seller lowers its price in the
amount indicated by the variable "price adjustment"
and the buyer raises its price it is willing to pay in the
same amount.
Goal
Maximizing the average life
of the agents, and the accumulated amount of food and
minerals.
Author
Klaus
Jaffe. First version in Unity by Noel Ramirez.
A complete versions of
Sociodynamica and Biodynamica compiled in VB can be downloaded
from:
http://atta.labb.usb.ve/Klaus/Programas.htm
Source code for Unity is at:
Academic
references:
Agent
based simulations visualize Adam Smith's Invisible Hand by
solving Friedrich Hayek's Economic Calculus. Arxiv
Visualizing the Invisible
Hand of Markets: Simulating complex dynamic economic
interactions. Jaffe K. Intelligent Systems in Accounting,
Finance and Management 22(2) 115-132. 2015.
arxiv.org/abs/1412.6924
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