Behavioural evolution of manufacturing companies
Weasel program is a good point to start thinking about behavioural evolution of manufacturing companies. Let say, -hypothetically- we have a company which is producing some products with a set of tools (i.e. best practices). This toolset includes limited number of tools (say genomes) and called genetic combination. Accordingly, this company is being exist in a limited business environment. The business environment has a limited set of environmental factors (e.g. common industrial best practices' requirements), called environmental set. In each step, the company evolves and try to adapt to the environment. As a beginning, we can imagine that the environment can be in one of two different state in the proposed model of simulation: (1) Environmental set is not changing, it is in a steady state; (2) Environmental set is changing randomly in each step, it is in a transient period. I am going to call these two situations as scenarios.
Scenarios
- Environmental set is fixed.
- Environmental set is changing over time regardless of the change of the genetic combination. (not shown here)
Algorithm
A "Weasel" style algorithm could run as follows.
- Start with a random string of 4 characters. Each character is a member of {A, B, ..., C}.
- Make 2 copies of the string (reproduce).
- For each character in each of the 2 copies, with a probability of 5%, replace (mutate) the character with a new random character.
- Compare each new string with the target string of the Environmental Set, and give each a score (the number of letters in the string that are correct and in the correct position).
- If any of the new strings has a perfect score (4), halt. Otherwise, take the highest scoring string, and go to step 2.
Further readings
- Variation (Genetic diversity) = Mutation + Sex and Recombination + Gene flow
- Mechanisms = Natural selection + Biased mutation + Genetic drift + Genetic hitchhiking + Gene flow
- Outcomes = Adaptation + Coevolution + Cooperation + Speciation + Extinction