Description of Simulated Fear Dynamics Data
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https://data.mendeley.com/datasets/3c542bxz65
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资源简介:
The provided code generates synthetic data to simulate the dynamics of fear under the influence of external and decision-making forces. Let's delve into the components and describe the characteristics of the generated data:
System Components:
Mass of Fear Element: mass: A constant representing the mass of the fear element. In physics, mass influences how an object responds to external forces.
Time Array: Time: An array representing time, ranging from 0 to 10 with steps of 0.1. This defines the temporal aspect of the simulation.
Forces:
external_force: Simulated external force, represented by the sine function over time. It models environmental factors impacting fear.
decision_force: Simulated decision-making force, a linear function of time. It represents an illustrative force related to decision-making.
Fear Dynamics Simulation:
The fear dynamics are simulated using numerical integration. The fear element's position (fear_position) and velocity (fear_velocity) are updated over time based on the external and decision-making forces.
Visualisation:
The simulated fear dynamics are visualised through two subplots:
Forces Influencing Fear Dynamics:
External force and decision force are plotted against time. This provides insight into how these forces vary over the simulation duration.
Fear Dynamics with Decision-Making:
Fear element position is plotted against time. This plot illustrates how the fear element's position evolves over time, considering both external and decision-making forces.
Key Takeaways:
The simulation combines external and decision-making forces to model fear dynamics.
Visualisation helps understand the impact of forces on fear over time.
This is a simplified model, and specific force functions can be adjusted for more realistic simulations.
Note:
In a real-world scenario, such simulations can be more complex, considering various factors and interactions influencing fear dynamics. This model provides a foundational understanding for more intricate simulations.
创建时间:
2024-02-26



