Simulation of Artificial Intelligence Concepts Gaming Project in C++

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#include <iostream>
#include <cstdlib>
#include <ctime>

using namespace std;

// Enum for AI states
enum class State {
    Idle,
    Patrol,
    Chase
};

// AI class
class AI {
private:
    State currentState;
    int playerDistance;

public:
    AI() : currentState(State::Idle), playerDistance(100) {}

    void update() {
        // Update state based on player distance
        if (playerDistance < 20) {
            currentState = State::Chase;
        } else if (playerDistance < 50) {
            currentState = State::Patrol;
        } else {
            currentState = State::Idle;
        }

        // Print the current state
        switch (currentState) {
            case State::Idle:
                cout << "AI is idle." << endl;
                break;
            case State::Patrol:
                cout << "AI is patrolling." << endl;
                break;
            case State::Chase:
                cout << "AI is chasing the player!" << endl;
                break;
        }
    }

    void simulatePlayerMovement() {
        // Simulate player distance changing
        playerDistance = rand() % 100;
    }
};

int main() {
    srand(static_cast<unsigned>(time(0))); // Seed for random number generation

    AI ai;
    int steps = 10;

    for (int i = 0; i < steps; ++i) {
        cout << "Step " << i + 1 << ":" << endl;
        ai.simulatePlayerMovement();
        ai.update();
        cout << endl;
    }

    return 0;
}

#include <iostream>

#include <cstdlib>

#include <ctime>

using namespace std;

// Enum for AI states

enum class State {

Idle,

Patrol,

Chase

};

// AI class

class AI {

private:

State currentState;

int playerDistance;

public:

AI() : currentState(State::Idle), playerDistance(100) {}

void update() {

// Update state based on player distance

if (playerDistance < 20) {

currentState = State::Chase;

} else if (playerDistance < 50) {

currentState = State::Patrol;

} else {

currentState = State::Idle;

}

// Print the current state

switch (currentState) {

case State::Idle:

cout << "AI is idle." << endl;

break;

case State::Patrol:

cout << "AI is patrolling." << endl;

break;

case State::Chase:

cout << "AI is chasing the player!" << endl;

break;

}

void simulatePlayerMovement() {

// Simulate player distance changing

playerDistance = rand() % 100;

}

};

int main() {

srand(static_cast<unsigned>(time(0))); // Seed for random number generation

AI ai;

int steps = 10;

for (int i = 0; i < steps; ++i) {

cout << "Step " << i + 1 << ":" << endl;

ai.simulatePlayerMovement();

ai.update();

cout << endl;

}

return 0;

}

Explanation

Headers:
- <iostream>: For input and output operations.
- <cstdlib>: For rand() and srand()
  
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  functions.
- <ctime>: For time() function to seed the random number generator.
Enum:
- enum class State: Defines the possible states for the AI (Idle, Patrol, Chase).
AI Class:
- Attributes:
  - currentState: Current state of the AI.
  - playerDistance: Simulated distance to the player.
- Methods:
  - update(): Updates the AI’s state based on the player’s distance and prints the current state.
  - simulatePlayerMovement(): Simulates changes in player distance using a random value.
Main Function:
- Initialization:
  - Seeds the random number generator.
  - Creates an AI object.
- Simulation Loop:
  - Runs for a fixed number of steps (10 in this case).
  - Simulates player movement by changing the distance.
  - Calls update() to adjust the AI’s state and print the result.

Notes:

Finite State Machine: This program demonstrates a simple finite state machine where the AI’s behavior changes based on the distance to the player.
Random Distance: The simulatePlayerMovement() function generates a random distance to simulate player movement.

Explanation

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