# Design: Players & AI Behavior (M3)

## Goal
Implement autonomous players with role-based and zone-based AI that move realistically and maintain tactical positions without user input.

## Architecture
The system separates player data from behavior logic.

### 1. Components
- **`Player` Entity**: A data structure containing physical properties (position, velocity, radius), team identity (Red/Blue), role (Striker/Defender), and movement constraints (MaxSpeed, Acceleration).
- **`PlayerAI` Logic**: A set of rules that determine the "Target Point" based on the puck's position and the player's role.
- **`World` Integration**: The world manages a collection of players, updates their AI state, applies steering physics, and handles boundary clamping.

## Detailed Design

### 1. Player Roles & Behavior
Players operate based on a hybrid of roles and zones.

#### Defender
- **Home Zone**: Their own half of the field.
- **Behavior**:
    - **Puck in opponent's half**: Return to `HomePosition` (positioned in front of their own goal).
    - **Puck in their half**: Move to a point on the line between the `Puck` and `Their Goal` to block the path.

#### Striker
- **Home Zone**: Center of the field and opponent's half.
- **Behavior**:
    - **Puck in their zone**: Actively chase the `Puck`.
    - **Puck deep in their own half**: Maintain a position near the center or between the center and the opponent's goal, avoiding overcrowding the defender's zone.

### 2. Movement Physics (Steering)
To avoid "robotic" movement, players use a steering-like approach:
1. **Target Point**: AI determines where the player *wants* to be.
2. **Desired Velocity**: A vector from current position to target, normalized and scaled by `MaxSpeed`.
3. **Acceleration**: The difference between `Desired Velocity` and `Current Velocity` is applied as a force, capped by the `Acceleration` parameter.
4. **Integration**: `Position += Velocity`.

### 3. File Structure
- `internal/entities/player.go`: Defines `Team`, `Role`, and `Player` struct.
- `internal/game/world.go`: 
    - Adds `Players []*Player` to `World`.
    - Defines goal coordinates (`GoalLeft`, `GoalRight`).
    - Implements `updatePlayersAI()` and integrates it into `World.Update`.
- `internal/game/world_test.go`: Tests for AI target selection and movement.

### 4. Edge Cases & Polish
- **Anti-Clumping**: Small repulsive force between teammates to prevent them from overlapping perfectly.
- **Dead Zone**: A small radius around the target point where the player stops moving to prevent jittering.
- **Boundary Clamping**: Players are clamped to the field boundaries to prevent them from leaving the screen.

## Success Criteria
- Players are rendered on screen with distinct colors.
- Defenders stay back when the puck is far and block the goal when it's near.
- Strikers chase the puck but don't crowd their own defenders.
- Movement is smooth (accelerating/decelerating) rather than instant.