02 OamLab V1.10 - Open Atwood Machine Laboratory (1.0.0)
In 1922 A.J. Lotka proposed that there was a fundamental phenomenon operating in both ecological and economic systems that caused them to evolve to capture and use energy at the highest rates possible. He identified natural selection as the general causative process. In 1955 H.T. Odum and R.C. Pinkerton expanded on that idea and, using Atwood’s machine as one example, proposed the existence of a principle that could explain the dynamics of open systems of many kinds.
Odum subsequently called that principle the Maximum Power Principle (MPP), and advocated that it be considered the fourth law of thermodynamics. In short, the MPP says (my words) that any system that is non-isolated with respect to energy flows will, through a process of natural selection, evolve such that (a) the system as-a-whole will capture and degrade energy at maximum power (maximum production of entropy); while (b) each component energy transformation will evolve to function at minimum power (minimum production of entropy) but at some intermediate efficiency. That is, within the system the components transfer still-useful energy at maximum power, while the system as-a-whole degrades that energy at a maximum rate, thereby generating complexity.
In a diary note available with this model, I have developed the concept of an abstract Open Atwood’s Machine (OAM) which can be formed into linked chains of OAMs. In a quasi-Darwinian competition for a scarce resource, these chains capture and expend energy, reproduce via fission, mutate, and the fitness of each chain is computed. The less fit chains are selected out. The main tenet of the MPP is exhibited: when fitness is based on both time to reproduce and efficiency of energy use, maximum power is achieved at an efficiency of ~62%, and the efficiency of the components of the system (the OAMs) converges to that common value.
I believe that ABMs offer an excellent class of systems in which the MPP can be studied.
Release Notes
Associated Publications
This release is out-of-date. The latest version is
1.1.0
02 OamLab V1.10 - Open Atwood Machine Laboratory 1.0.0
Submitted byGarvin BoylePublished Jan 31, 2015
Last modified Feb 23, 2018
In 1922 A.J. Lotka proposed that there was a fundamental phenomenon operating in both ecological and economic systems that caused them to evolve to capture and use energy at the highest rates possible. He identified natural selection as the general causative process. In 1955 H.T. Odum and R.C. Pinkerton expanded on that idea and, using Atwood’s machine as one example, proposed the existence of a principle that could explain the dynamics of open systems of many kinds.
Odum subsequently called that principle the Maximum Power Principle (MPP), and advocated that it be considered the fourth law of thermodynamics. In short, the MPP says (my words) that any system that is non-isolated with respect to energy flows will, through a process of natural selection, evolve such that (a) the system as-a-whole will capture and degrade energy at maximum power (maximum production of entropy); while (b) each component energy transformation will evolve to function at minimum power (minimum production of entropy) but at some intermediate efficiency. That is, within the system the components transfer still-useful energy at maximum power, while the system as-a-whole degrades that energy at a maximum rate, thereby generating complexity.
In a diary note available with this model, I have developed the concept of an abstract Open Atwood’s Machine (OAM) which can be formed into linked chains of OAMs. In a quasi-Darwinian competition for a scarce resource, these chains capture and expend energy, reproduce via fission, mutate, and the fitness of each chain is computed. The less fit chains are selected out. The main tenet of the MPP is exhibited: when fitness is based on both time to reproduce and efficiency of energy use, maximum power is achieved at an efficiency of ~62%, and the efficiency of the components of the system (the OAMs) converges to that common value.
I believe that ABMs offer an excellent class of systems in which the MPP can be studied.
This website uses cookies and Google Analytics to help us track user engagement and improve our site. If
you'd like to know more information about what data we collect and why, please see
our data privacy policy. If you continue to use this site, you consent to
our use of cookies.
