Vivanteur-based simulation goes beyond agent-based simulation since entities change their operational schemata and characteristics through artificial intelligent evaluation of their environmental surroundings and are sustained through the exchange of resources during and between simulations.
Vivanteur-based Simulation vs. Agent-based Simulation
1. All entities both stationary and mobile are vivanteurs.
2. Vivanteurs learn from their experiences.
3. Vivanteurs can modify their behavior through artificially intelligent manipulation of the operational schemata and characteristics during a simulation.
4. Vivanteurs generate novel operational schemata though recombination with other vivanteurs.
5. Vivanteurs can inherit the best experiences from their parents.
6. Operational activity based costs and revenues define the economy of the system and therefore the resource exchanges between vivanteurs.
7. Vivanteurs reproduce when economic reserves are adequate and expire when inadequate.
The most economic staffing level can be discovered.
The transmission of customer reserves to staff vivanteurs occurs at service positions. Customers change their minds in the believe service is too slow or inadequate while move through the service area. Staff do the same if the opportunity to provide service is slow or inadequate.
Between simulations if a staff member's reserves are adequate, they generate an new staff member which inherits some of their best experiences. Also, customers and staff modify their plan on getting or providing service based on their experience in the next simulation.
Customer transit time through the service area decreases as more positions open due to staff population increase and the customers learning to take advantage of the increase.
The fraction of a staff member's shift spent serving customers.
The average among the staff increases as the customers spread themselves among the positions.
Percent of positions active relative to a uniform use of served positions.
The uniformity among the positions increases as the customers spread themselves among the positions.
The population of staff members stabilizes over time.
The revenue provided by the customers causes the staffing population to grow to a sustainable level.
A relatively small number simulations discovers the count of staff members sustainable by the revenue flow associated with customers.
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