i. Features of Deterministic Systems:

1. Predictable Outcomes:
   • Deterministic systems operate under predefined rules or laws, leading to predictable and consistent outcomes. For example, mathematical equations or algorithms produce the same result under the same conditions.
2. No Influence of Randomness:
   • These systems are not influenced by randomness or external variability, making their behavior fully determined by initial conditions and inputs. An example is a programmed computer calculation that always gives the same output for the same input.

ii. Features of Probabilistic Systems:

1. Incorporates Uncertainty:
   • Probabilistic systems account for randomness and uncertainty, and outcomes are expressed in terms of probabilities rather than certainties. For instance, weather forecasting models predict the likelihood of rain rather than a definite occurrence.
2. Variable Outcomes:
   • The system can produce different results even under the same conditions, reflecting the influence of unpredictable factors. Business scenarios with demand variability are examples, where sales forecasts are probabilistic.

iii. Features of Cybernetic Systems:

1. Self-Regulating Mechanism:
   • Cybernetic systems have feedback mechanisms that allow them to adjust and regulate themselves to achieve desired outcomes. An example is a thermostat controlling room temperature.
2. Adaptive and Responsive:
   • These systems can adapt to changes in their environment, maintaining stability and performance through dynamic adjustments. An example is an autopilot system in an aircraft, which adjusts flight controls based on real-time data.