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Data and Theory
Data
We added a first provisional version of the data. It is possible that some small errors have slipped in because a few data have been transferred manually, but in any case it will be of very little relevance. We will add more information later.
The variables trigo (wheat) and hierro (iron) represent the quantities available to each agent (vertical) in each session (horizontal), including the quantities available at the start of the simulation.
The variables entregas (deliveries) include the session, the agent making the delivery, the agent receiving the delivery, the wheat delivered, and the iron delivered (spreadsheets include date and time).
The variables procesos (processes) include the process chosen by each agent (vertical) in each session (horizontal). 0 is indicated when the form was not used, which implies using process 3.
The variables empresas (companies) include the company to which each agent belongs (vertical) in each session (horizontal), only in simulations 2 and 3.
Spreadsheets
First simulation, September to December 2023:
Formatted spreadsheets: wheat, iron, deliveries, processes
Unformatted spreadsheets: Materials, processes and comments , Deliveries , Companies (limited)
Second simulation, February to May 2024:
Formatted spreadsheets: wheat, iron, deliveries, processes, companies
Unformatted spreadsheets: Materials, processes and comments , Deliveries , Companies
Third simulation, February to May 2025:
Formatted spreadsheets: wheat, iron, deliveries, processes, companies
Unformatted spreadsheets: Materials, processes and comments , Deliveries , Companies
Matlab-Octave
The data for the three simulations can be downloaded for Matlab or Octave. Download the s.mat file, copy it to your working directory, and type the command in Matlab or Octave
load s.mat
to load the data. Variables whose names begin with s1 are from the first simulation, s2 from the second, and s3 from the third.
Theory
Von Neumann Model (VN)
For an introduction for non-mathematicians, see pages 5-8 of Computing Von Neumann.
For its relationship to Leontief and Sraffa theories, see page 17.
To solve VN, you can use algorithms in Matlab or Octave, or Excel spreadsheets.
Maximum Benefit in the Long-term Perspective (MBLP)
For its approach, see the section 17.5.3 of the thesis.
For its connection to VN, see 19.1.
To solve it, you can use version 2 of the algorithms for Matlab or Octave, for example, with the Octave Online interface (if a welcome window appears, click the button at the bottom of the window). To solve our simulation, we will type the command
mblp
To obtain the solution with other data, you can use a help.
Excel spreadsheets can also be used to solve for an optimal allocation.