1. Current System Overview

The existing simulation operates on a grid-based coordinate system (×ばつ40) where entities ("blips") represent friendly units, enemy units, and objectives. Each entity is assigned a fixed health value, and interactions are resolved through direct commands specifying movement and target coordinates.

The system supports:

• 2D tactical visualization with indexed grid positions
• 3D terrain rendering (procedural elevation only)
• Basic simulation through coordinate-driven movement and attack resolution
• Static objective capture mechanics (progress-based)

While functional, the current model abstracts away most real-world dynamics, limiting realism and strategic depth.

2. Limitations of the Current Approach

Several structural constraints prevent the simulation from scaling into a realistic wargaming environment:

2.1 Grid-Based Coordinate System

• Discrete cells restrict movement and positioning
• No concept of real-world scale, distance, or orientation
• Limits integration with realistic terrain and physics

2.2 Lack of Semantic Terrain

• Terrain is purely elevation-based (mountains only)
• No differentiation between urban areas, roads, water, or cover
• 3D map is visual-only and not used in simulation logic

2.3 Abstract Entity Modeling

• All entities are treated uniformly (100 HP)
• No differentiation in unit roles, capabilities, or behavior
• Combat is deterministic and instantaneous

2.4 Instantaneous Simulation Resolution

• Commands resolve immediately without time progression
• No intermediate states such as movement, detection, or engagement phases

2.5 Simplistic Objective System

• Objectives rely on static capture mechanics
• No dynamic mission evolution or strategic variation

3. Transition to a Real-World Coordinate System

A foundational upgrade involves replacing the current grid-based coordinates with a continuous, real-world coordinate system.

Proposed Changes

• Use continuous spatial coordinates (latitude/longitude abstraction)
• Introduce real distance, direction, and scale
• Generate maps based on randomized coordinate regions instead of fixed grids

Impact

• Enables realistic movement, range calculation, and spatial reasoning
• Allows seamless integration of terrain, airspace, and maritime zones
• Removes artificial constraints imposed by discrete grids

4. Evolution of Map Generation

Current State

• Procedural generation produces only elevation (mountainous terrain)

Target State

Map generation evolves into a multi-layered world model:

4.1 Terrain Semantics

Each location includes:

• Terrain type (urban, plain, mountain, water)
• Elevation
• Movement cost
• Cover value
• Visibility modifiers

4.2 Environment Types

• Urban zones (dense structures, limited visibility)
• Open terrain (high visibility, low cover)
• Water bodies (naval domain)
• Roads (faster traversal)

4.3 3D Integration

• 3D map becomes a representation of simulation data, not just a visual mesh
• Urban environments initially approximated using simple structures before full modeling

5. Time-Stepped Simulation Architecture

The simulation will transition from instant resolution to a tick-based system.

Simulation Loop

Each time step processes:

1. Unit state updates
2. Movement progression
3. Detection checks
4. Engagement resolution
5. Objective updates

Impact

• Introduces temporal dynamics
• Allows interruption, reaction, and emergent behavior
• Enables more realistic combat flow

6. Advanced Entity Modeling

Entities will evolve from abstract blips into stateful units with defined roles.

Enhancements

• Unit types (infantry, armor, recon, etc.)

• Attributes:

  • Detection range
  • Engagement range
  • Mobility
  • Behavior patterns

Combat Model Upgrade

• Replace simple HP with state-based damage:

  • Active
  • Damaged (reduced effectiveness)
  • Destroyed

7. Detection and Engagement System

Combat will follow a structured pipeline:

1. Detection (based on distance, terrain, and conditions)
2. Targeting (line-of-sight and prioritization)
3. Engagement (range, accuracy, weapon effects)
4. Resolution (probabilistic outcomes)

Key Additions

• Line-of-sight constraints
• Terrain-influenced visibility
• Probabilistic hit and damage models

8. Environmental and Weather Systems

Environmental factors will directly influence simulation outcomes.

Parameters

• Weather (rain, fog, storms)
• Time of day (day/night cycles)
• Visibility range

Effects

• Detection degradation
• Movement penalties
• Accuracy variation

9. Objective and Mission System Redesign

Objectives will shift from static capture mechanics to dynamic mission-driven logic.

New Objective Types

• Area control
• Reconnaissance
• Escort and defense
• Target elimination

Enhancements

• Dynamic objective updates during simulation
• Contested zones and influence-based control
• Partial success and failure conditions

10. Multi-Domain Combat Expansion

The simulation will expand beyond land-based operations into a multi-domain environment.

Domains

• Land: terrain-aware movement and combat
• Air: altitude-based movement, large detection radius
• Naval: surface movement restricted to water
• Underwater: sonar-based detection, no line-of-sight dependency

Note

Multi-domain integration will be introduced incrementally, with land simulation fully stabilized first.

11. Simulation Lifecycle and Outcome Evaluation

The simulation will adopt a structured lifecycle:

• Initialization
• Active engagement
• Resolution
• Post-simulation evaluation

Outcome Metrics

• Objective completion
• Casualties and survivability
• Territorial control
• Operational efficiency

This replaces binary win/loss conditions with graded mission outcomes.