Open map List

Deterministic Environment

Environment which's prior stage / 1st stages or agents action determines the status of 2nd stage / later stage of the environment, is regarded as Deterministic Environment.

Explanation

This environment operates based on fixed rules without randomness. Given the same initial conditions, the outcomes are entirely predictable and repeatable.

However, real-world systems often exhibit some degree of randomness or uncertainty. Deterministic models might not fully capture the complexities of real-world scenarios.

Examples

  • Traffic Flow Simulation: A model could use deterministic rules to govern the movement of vehicles based on factors like speed limits, lane changes, and traffic signals.
  • Disease Spread Simulation: The model might use deterministic rules to simulate the spread of an infectious disease based on contact rates and transmission probabilities between agents.
  • Predator-Prey Model (Simplified): In a basic predator-prey model, prey movement and predator hunting success could be governed by deterministic rules to understand the core population dynamics. In sheep wolf model, when the sheep eats grass in 1st time step, the grass has to be regrown in 2nd time step. Here the 2nd time step is depending on the 1st one. So it can regarded as deterministic environment.

Outgoing relations